Senior Product Manager - Content Intelligence, Discovery & Agentic Experiences

Go1 Australia; Central Coast Council; Remote; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Annual bonus or commission

Employee Stock Option Plan

Public Holiday Swap

Fully remote organisation

Wellbeing & Learning Days

Learning Budget: USD 500

WFH/Transport Budget

Home Office Setup Budget

Parental Leave: 18 weeks + 6 weeks

Wellbeing Support

Job summary

Go1 is seeking a Senior Product Manager to own the intelligence layer of our learning platform, driving search relevance, personalized recommendations, and agentic discovery workflows. You will shape what surfaces appear, when, and for whom, leveraging data, ML models, and cross-functional collaboration.

You will break down complex problems into high-impact releases, partner with data scientists and engineers, and run experiments to validate trade-offs while focusing on business outcomes and

Qualifications

• 5+ years of product management experience on ML-powered or data-heavy products.
• Led initiatives in search, personalization, recommendations, or content ranking.
• Experience with B2B SaaS, HR tech, content platforms, or compliance is a plus.

Responsibilities

• Own the intelligence layer of the learning platform: search relevance, recommendations, and discovery workflows.
• Break down ambiguous problems into high-impact releases and ship quickly.
• Collaborate with data scientists, engineers, design, content, and GTM to move decisions forward.
• Run experiments, interpret behavioral data, and iterate based on results.

Skills

Product management

ML-powered products

Search

Personalization

Recommendations

B2B SaaS

Data-heavy products

Job description

Job Description

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

About you:

Your background:

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

How you think:

• You think in systems, not features. Feedback loops, signal quality, and long-term defensibility matter more to you than UI polish
• You're AI-fluent. You understand the difference between traditional ML and LLM-based approaches, and you know how to design responsibly with probabilistic systems and agentic behaviour
• You think commercially. You connect the dots between discovery quality and real business outcomes

How you work:

• You're data-comfortable. You can sit with engineers and data scientists, understand what they're building, and make informed calls about trade-offs
• You have a bias to action. You ship, measure, and iterate; you don't wait for perfect certainty
• You have grit. Ambiguous problem spaces don't stall you; you like building while learning
• You're a clear communicator. You surface trade-offs, make decisions legible, and help teams move without getting stuck

Join our team at Go1 and be at the forefront of transforming education through innovative learning solutions. Together, we can change the world. One learner at time.

Benefits:

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

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

Check out Life at Go1: