Senior Product Manager - Content Intelligence, Discovery & Agentic Experiences
Melbourne
Full Time
1 hour ago
Senior LevelProductWorldwide
$80K - $120K

USD per year

Job Description

Senior Product Manager - Content Intelligence, Discovery & Agentic Experiences

Melbourne At Go1, we’re on a mission to help organizations deliver learning and development in more relevant, timely, and effective ways. From a small startup to now a global brand - we’ve grown by solving hard problems, embracing ambiguity, and never standing still. If you thrive on change, get energy from big, complex challenges, and are excited to grow fast alongside smart, ambitious people, then Go1 might be exactly what you’re looking for. We offer autonomy with accountability, space to experiment, and the opportunity to shape solutions that impact millions of learners worldwide. We don’t have all the answers — and that’s the point. We figure it out together. Every line of code, every conversation, every bold idea helps move us closer to our mission:to enable individuals, organizations, and society to progress. There’s still so much to build — and even more to discover. Go there with us... Most PM roles ask you to ship features. This one asks you to build something smarter. We're looking for a Senior PM to own the intelligence layer of our learning platform: the systems that decide what surfaces, when, for whom, and why. Search relevance. Personalized recommendations. Agentic discovery workflows that don't just respond to users but actively help them move forward.If you've ever watched a recommendation engine quietly get better over weeks of real user behaviour and found that more satisfying than any launch announcement,this role was built for you. Why you'll love this role: You won't be inheriting a polished system; you'll be shaping one that has serious room to get smarter.

  • You'll work at the intersection of ML,UX,and data,not just on top of it
  • You'll have the autonomy to design experiments,make calls,and drive direction without waiting on approvals
  • You'll partner with a cross-functional team across engineering,data science,design,content,and GTM that's invested in getting this right
  • You'll see the direct impact of your work in user behaviour,model performance,and platform intelligence over time

What you'll own: You'll lead product across search,recommendations,content intelligence,and agentic discovery.That means shaping how the platform understands content,models user preferences,and surfaces the right learning at the right moment,across standalone,embedded,and API-based experiences. The systems under your remit:

  • High-intent search  improving relevance, ranking logic, and retrieval quality
  • Personalized recommendations  evolving ML models and designing feedback loops that compound over time
  • Intelligent filtering & categorization  making it easier for users to navigate a growing content library
  • Content metadata enrichment  strengthening accuracy and coverage so the system understands what it's working with
  • Preference & behavioural modelling  building personalization logic based on role, industry, region, and real usage signals
  • Agentic discovery & curation workflows  designing systems that don't just respond to users but proactively help them move forward
  • Experimentation frameworks  building the scaffolding that lets the team test, measure, and iterate quickly
  • Explainability  designing AI-driven experiences users can understand and trust

What you'll spend your day doing:

  • Breaking down complex ambiguous problems into small high-impact releases that ship quicklyand generate real signal
  • Working closely with data scientists to understand model trade-offs experiment design ranking logic
  • Partnering with engineering to evolve traditional ML recommendation models experiment with modern AI techniques
  • Collaborating with design content GTM teams keep momentum high decisions clear
  • Surfacing trade-offs early making calls with imperfect information without getting stuck in analysis paralysis
  • Running experiments reading behavioural data iterating based on what you find rather than what you assumed
  • Thinking commercially about how discovery quality flows through activation engagement retention partner value

About you: Your background:

  • 5+ years of product management experience with meaningful time on ML-powered or data-heavy products
  • Owned search personalization recommendations marketplace discovery or content ranking before (must have)
  • Experience in B2B SaaS HR tech content platforms compliance is a plus but not dealbreaker

How you think:

  • Think in systems not features; feedback loops signal quality long-term defensibility matter more than UI polish
  • AI-fluent; understand difference between traditional ML LLM-based approaches; design responsibly with probabilistic systems agentic behaviour
  • Think commercially; connect dots between discovery quality real business outcomes

How you work:

  • Data-comfortable; sit with engineers data scientists understand what they're building make informed calls about trade-offs
  • Bias to action; ship measure iterate don't wait for perfect certainty
  • Have grit; ambiguous problem spaces don't stall like building while learning
  • Clear communicator; surface trade-offs make decisions legible help teams move without getting stuck

Benefits: At Go1 our employee benefits extend far beyond a pay cheque ensuring our team feels supported valued empowered bring their best selves each day driving mission unlock positive potential through love of learning.

  • In addition to your base salary: Annual bonus or commission plan.
  • Employee Stock Option Plan: Opportunity share directly success through stock options.
  • Public Holiday Swap: Swap public holiday for another preferred day.
  • Flexible Working: Fully remote organisation with team events travel throughout year.
  • Wellbeing & Learning Days: Additional five days paid leave per year.
  • Learning Budget: $500 USD per financial year plus access additional Career Growth Budget.
  • WFH/Transport Budget: Monthly allowance internet/phone expenses or public transport.
  • Home Office Setup Budget: One-off allowance desk chair monitor.
  • Parental Leave: Minimum 18 weeks paid parental leave primary carers + 6 weeks paid parental leave secondary carers.
  • Wellbeing Support: Access counselling wellbeing app via Nilo Health.
How to Apply
About Go1

We’re rethinking how the world learns. Join a remote-first team that leads with curiosity, kindness, and purpose.

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