Go1 Australia

Role Description At Go1, Customer Success is about helping customers get real business value from learning, while building long-term, commercially healthy partnerships. We’re looking for a Customer Success Manager to own and grow a portfolio of mid-market customers across APAC. You’ll partner closely with Learning, HR, and People leaders to help them connect their workforce development goals to the value Go1 can deliver, from onboarding and adoption through to renewals, expansion, and strategic planning. This role would suit someone who enjoys the mix of relationship management, problem-solving, commercial ownership, and customer strategy. You’ll need to be comfortable working in a fast-moving remote environment, balancing competing priorities, building relationships across customer organisations, and taking ownership of outcomes, not just activity. What you’ll do: - Customer Success and Retention - Own and grow a portfolio of mid-market customers, acting as their trusted strategic partner. - Build strong, multi-threaded relationships across customer organisations, from day-to-day users through to executive decision-makers. - Lead onboarding, adoption, business reviews, and success planning to help customers maximise the value of their Go1 partnership. - Use customer insights, product usage, and business goals to identify risk, improve retention, and support successful renewals. - Help customers understand and adopt new Go1 products and capabilities as we continue to innovate. - Growth and Commercial Ownership - Identify and develop expansion opportunities across your customer portfolio. - Lead commercial conversations with confidence, including renewal and growth discussions. - Partner closely with Sales to support successful renewals, upsell, and expansion opportunities. - Use customer usage, organisational change, stakeholder insight, and business context to spot opportunities early. - Create proactive account plans that support customer value, retention, and growth. - Strategic Account Management - Engage confidently with multiple stakeholders across customer organisations, including senior leaders and executive sponsors. - Understand what is happening inside your customers’ businesses and use that context to shape account strategy. - Run strategic customer conversations that connect Go1’s platform to broader business outcomes. - Balance competing priorities across a portfolio of accounts and know where to focus your time for the greatest impact. - Ways of Working - Collaborate with Product, Marketing, Professional Services, Support, and Sales to improve the customer experience. - Bring customer insight back into the business to help shape how we support and grow our customers. - Use AI, data, and technology to work smarter, improve productivity, and deliver better customer outcomes. - Build strong internal relationships in a remote-first environment. - Contribute ideas, test new approaches, and help us continuously improve how we work as a Customer Success team. Qualifications - 3+ years’ experience in Customer Success, Account Management, Relationship Management, or another customer-facing commercial role. - A proven track record of managing renewals, retention, and revenue growth in a B2B SaaS or recurring revenue environment. - Strong commercial acumen, with the ability to connect customer objectives to business outcomes and growth opportunities. - Experience managing a portfolio of mid-market customers and balancing competing priorities. - Excellent relationship-building, discovery, and communication skills. - Confidence engaging senior stakeholders and executives. - Experience identifying customer risk, building action plans, and working cross-functionally to improve customer health. - A data-driven mindset, using customer insights, product usage, and business context to shape strategy and make sound decisions. - Curiosity, adaptability, and confidence experimenting with AI and technology to improve how you work and how customers succeed. - A proactive, self-starting approach, with the ability to operate well in a remote, fast-moving environment. - A collaborative, low-ego style and a strong sense of ownership. - Experience in HR tech, learning technology, workforce enablement, or B2B SaaS is a plus. Benefits - 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 initiatives.

Role Description Reporting to the Chief Technology Officer, the Director of Data Intelligence is responsible for leading Go1's Data Intelligence function: building the trusted business data spine, enabling high-quality self-service, and turning data products into customer, product, and commercial operating advantage. Leading a team of Data Analysts, Data Engineers, and Data Scientists, you will ensure data is trusted, accessible, well-governed, and aligned to Go1's strategic objectives. You will partner closely with Product, Engineering, Legal, Risk, Finance, Customer, GTM, and business leaders to create the frameworks, standards, and operating models that enable data-driven decision making across the organisation. This is a highly strategic leadership role focused on building organisational data maturity, improving data quality and accessibility, and ensuring data investments deliver meaningful customer and commercial outcomes. It is also a practical delivery role: you will shape the semantic layer, metadata, data quality, observability, AI-ready data access, and reusable data products that allow Go1 to scale decision-making without routing every important question through one central expert. What You'll Do - Lead, mentor, and develop a multidisciplinary team of Data Analysts, Data Engineers, and Data Scientists. - Own Go1's trusted business data spine across core company metrics, including ARR, customer, product, content, retention, churn, PLG, and commercial reporting. - Partner with Product Managers, business stakeholders, and source system owners to define and deliver data roadmaps aligned to product, operational, and business goals. - Work closely with the CTO to define and execute Go1's Data Enablement strategy, operating model, and investment priorities. - Build a practical governance and trust model that makes clear which data must be tightly governed, which data can be domain-owned, and how data quality and confidence should be communicated. - Establish and maintain frameworks, standards, policies, and processes that support trusted, high-quality, and compliant use of data. - Partner with Data Architecture and Engineering teams to improve data accessibility, usability, discoverability, and adoption across the organisation. - Lead the development of semantic layers, metric definitions, metadata, data quality checks, observability, and governance foundations that support both human and AI-assisted data access. - Make definitions, ownership, and trust levels discoverable and usable in the flow of work, not hidden in documentation. - Turn high-value data products into business workflows, including QBRs, churn intervention, customer health, product adoption, PLG measurement, and commercial planning. - Set clear boundaries between what the central Data Intelligence team owns and what Product, Engineering, Marketing, Finance, Customer, and GTM teams should own themselves. - Champion continuous improvement in data quality, information management, and organisational data maturity. - Build team capability through workforce planning, coaching, mentoring, and professional development. - Develop leadership depth inside the team so Go1 is not dependent on a single senior data translator for every trade-off. - Focus teams on solving high-impact customer and business problems that drive strategic and commercial outcomes. Qualifications - 8+ years' experience in data governance, data management, analytics, data engineering, data science, or a related discipline. - Proven experience leading multidisciplinary data teams and delivering enterprise-wide data governance, quality, and enablement initiatives. - Strong people leadership experience, including a minimum of 3 years managing and developing direct reports. - Broad technical understanding across data science, data engineering, analytics, and data governance domains, with the ability to effectively partner across each discipline. - Experience building trusted company metrics in a SaaS, subscription, marketplace, or digital product environment. - Strong judgement on when data must be exact, when directional data is acceptable, and how to communicate that difference clearly. - Strong understanding of data governance, ownership, stewardship, quality management, and information lifecycle practices, with the judgement to apply them pragmatically. - Experience developing and implementing data policies, frameworks, standards, and operating models. - Practical experience with semantic layers, modern data platforms, metadata management, data quality, observability, and self-service analytics. - Experience enabling AI-assisted or self-service data consumption is highly desirable. - Ability to partner effectively with senior stakeholders, influence decision-making, and drive organisational change. - Ability to challenge senior stakeholders when a metric, dashboard, or analysis is misleading, while still helping teams move faster. - Strong strategic thinking, problem-solving, and communication skills, with the ability to balance long-term vision and pragmatic execution. - A track record of combining strategic leadership with a practical, hands-on approach to solving complex data challenges. - A track record of shifting data teams from request fulfilment toward reusable data products, trusted self-service, and measurable business adoption. - A collaborative, customer-focused leadership style with a passion for building high-performing teams and enabling better business outcomes through data. Benefits - 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.

Role Description At Go1, we’re on a mission to help organizations deliver learning and development in more relevant, timely, and effective ways. We’re entering one of the most exciting chapters in our company’s history. As Go1 continues to push into new territory with AI-powered capabilities, we’re looking for a Senior PMM who can help us reimagine what workforce enablement looks like. 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. About the role: - This is a Senior PMM role with genuine strategic scope. - You’ll be responsible for the go-to-market strategy and execution for Go1’s newest AI-powered capabilities. - Work closely with product managers on early-stage validation, positioning, and ICP development. - Build a playbook for some of the most commercially important work Go1 is doing right now. - This role sits at the intersection of strategy and execution. What you’ll do: - Product GTM: - Lead go-to-market strategy and execution for Go1’s newest AI-powered capabilities, from market validation through to full commercial launch. - Define positioning and messaging tailored to buyer personas and target segments. - Validate ICPs through customer discovery, competitive analysis, and early market research. - Coordinate across product, marketing, sales, and CS teams to ensure aligned execution at launch and beyond. - Run discovery calls and feedback sessions with customers and prospects in partnership with product to sharpen both roadmap and narrative. - Own the ongoing narrative for each capability post-launch, keeping positioning sharp as the product and market evolve. - Field Enablement: - Build and maintain assets that show up at every stage of the funnel: pitch narratives, one-pagers, objection handling guides, demo scripts, and discovery frameworks. - Partner with Sales and CS to ensure consistent, confident product storytelling across the GTM motion. - Customer and Market Intelligence: - Build a deep working knowledge of the buyer landscape, competitive environment, and market trends across Go1’s new capability areas. - Synthesise voice-of-customer insights from customer calls, research, and field feedback to sharpen positioning. - Contribute competitive intelligence that keeps the GTM team well-informed and well-prepared. Qualifications - 6+ years of experience in marketing, strategy, product, or operations, with at least 3+ years in product marketing or product management. - Experience entering new markets or launching into new categories, not just iterating on established ones. - Strong positioning instincts: ability to take an ambiguous product area and turn it into a clear, compelling story for a specific buyer. - Demonstrated experience building field-ready assets. - Comfort partnering with product on early-stage validation, ICP development, and narrative design. - Research and analytical skills, with the ability to use data and customer insight to ground messaging decisions. - Experience in HR tech, learning technology, or B2B SaaS is a plus. - Based in Australia. Benefits - 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: Fully remote organization 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.

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. #LI-AUEAST #LI-AE1 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: LET'S GO!

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. #LI-AUEAST #LI-AE1 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: LET'S GO!

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: This is a 12-month contract with genuine scope and real ownership. 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. #LI-AUEAST #LI-AE1 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: LET'S GO!