Sr. Associate, Product Management

Who We Are

Revantage a Blackstone Real Estate portfolio company is a global provider of corporate services. With a corporate purpose of In Pursuit of BetterRevantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies spanning diverse asset classes including residentiallogistics officehospitalityand retail sectors. Headquartered in Chicago the companys footprint extends across North AmericaEuropeand Asia Pacific.

Rooted in a commitment to collaboration and inclusivity Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance technology humanresourcesand operations Revantage proactivelyanticipatesstakeholder needs recruits exceptionaltalentand enables its business partners to thrive.

Technical Product Manager
Want to be a part of Asia Pacific & Japans (APJ) largest most innovative and rapidly growing data centre company
AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the regions digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the worlds most transformational companies. And were doing so sustainably for today and tomorrow.
Having opened Australias first and largest hyperscale data centres in 2017 we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APJ region. With backing from our investors including Blackstone this is just the beginning
Come join the A-Team at AirTrunk where the cloud meets the ground.
A Snapshot
We are seeking a hands-on technically strong product manager to help shape and deliver high-impact digital products at AirTrunk.
In this role you will own the discovery design delivery adoption and continuous improvement of technology-enabled products that help our teams work faster smarter and with greater operational discipline. Depending on business priorities these products may include internal SaaS-style applications workflow platforms data-enabled products decision support tools integrations automation solutions and AI-enabled capabilities.
You will work closely with business teams engineering data AI and technology stakeholders to turn complex operational needs into clear product strategies pragmatic roadmaps and scalable solutions. You will be comfortable operating across the full product lifecycle from identifying the right problem to solve through to shaping user journeys defining requirements partnering with engineering managing delivery measuring value and iterating based on feedback.
This is an ideal role for someone who combines strong product management discipline with technical depth. You do not need to be an AI product specialist but you should be fluent in how modern product teams can use AI to improve discovery delivery analysis prototyping documentation and decision-making. You should also be able to identify practical opportunities to embed AI automation and data-driven capabilities where they genuinely improve product outcomes.
Your Day to Day
Product Ownership & Delivery

Own the end-to-end lifecycle of digital products and technology-enabled capabilities from discovery and problem definition through to delivery adoption measurement and iteration.

Develop clear product visions roadmaps value cases and success metrics aligned to business priorities.
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Translate complex business needs into well-structured product requirements user stories process flows data needs and technical considerations.

Make clear prioritisation decisions based on user value business impact feasibility risk and delivery capacity.

Bring structure and product discipline to ambiguous opportunities helping teams move from ideas and requests to clearly defined problems outcomes and delivery options.
Technical Product Delivery

Partner with engineering data AI architecture and technology teams to design and deliver scalable products platforms and technology-enabled capabilities.

Work across user experience workflow design data models APIs integrations reporting security governance and operational support requirements.

Help shape SaaS-style and platform-based solutions that are reliable usable maintainable and designed for enterprise adoption.

Collaborate with technology teams to define MVPs delivery increments and long-term product evolution.

Ensure products are designed with appropriate attention to usability performance resilience data quality security and supportability.

Balance speed quality and scalability by making pragmatic trade-offs between immediate business value and longer-term product sustainability.
AI Automation & Modern Product Practice

Use AI and automation tools to improve the way product work is done including discovery synthesis research analysis prototyping documentation backlog creation testing support and stakeholder communication.

Identify practical opportunities to embed AI automation or data-driven decisioning into products and workflows where they create measurable value.

Promote responsible secure and pragmatic use of AI within product delivery and product experiences.

Model modern ways of working by using AI thoughtfully to improve quality speed clarity and decision-making across current initiatives.
Stakeholder & Cross-Functional Collaboration

Partner with business domain experts to understand operating models pain points workflows decisions and user needs.

Communicate product vision trade-offs delivery progress risks and value outcomes clearly to both technical and non-technical stakeholders.

Facilitate alignment across business technology data AI security and operations teams.

Act as the bridge between business problems and technology solutions ensuring delivery remains anchored to measurable outcomes.

Influence without authority across complex stakeholder groups bringing clarity to competing priorities and helping teams make informed product decisions.
Product Excellence & Continuous Improvement

Use product analytics telemetry user feedback and operational data to evaluate product performance and identify improvement opportunities.
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Drive adoption and change management in partnership with business teams ensuring products are embedded into real ways of working.

Continuously improve product practices templates rituals and standards across AirTrunks product community.

Stay informed on modern product management enterprise SaaS digital platforms AI-enabled product delivery and emerging technology trends.

Create a strong feedback loop between users business stakeholders and delivery teams to ensure products continue to evolve based on evidence value and changing business needs.
Requirements

5 years experience in product management technical product management digital product delivery enterprise technology SaaS products platform products data products or related roles.

Demonstrated experience owning products or technology-enabled capabilities through the full lifecycle including discovery prioritisation delivery adoption measurement and continuous improvement.

Strong product management discipline including problem discovery user research roadmap development requirements definition backlog management Agile delivery release planning and value measurement.

Strong technical fluency across modern software delivery APIs integrations data platforms workflow systems cloud environments and enterprise architecture concepts.

Experience working closely with engineering data architecture or platform teams to deliver software products enterprise applications internal platforms or full-stack digital solutions.

Excellent communication skills and stakeholder management across technical and business teams.

Strong prioritisation and decision-making skills with the ability to balance user value business impact technical complexity delivery capacity risk and long-term product sustainability.

Comfortable using AI and modern productivity tools to improve product workflows accelerate analysis support documentation improve delivery quality and model contemporary ways of working.

Understanding of security privacy data governance operational risk and responsible AI considerations in enterprise technology environments.

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EEO Statement

The Company is an equal opportunity accordance with applicable law we prohibit discrimination against any applicant employee or other covered person based on any legally recognized basis including but not limited to: veteran status uniformed servicemember status race color caste immigration status religion religious creed (including religious dress and grooming practices) sex gender gender expression gender identity marital status sexual orientation pregnancy (including childbirth lactation or related medical conditions) age national origin or ancestry citizenship physical or mental disability genetic information (including testing and characteristics) protected leave status domestic violence victim status or any other consideration protected by federal state or local law. We are committed to providing reasonable accommodations if you need an accommodation to complete the application process please email