Head of Search & Content
Insight Timer • Sydney, New South Wales, Australia
Posted: June 16, 2026
Job Description
We're looking for a Head of Search & Content to ensure our community of over 30 million users can easily find content that's right for them. You'll own the search and content experience across our platform. That means the quality of every search result, what we surface when people are browsing, how we merchandise and promote content, and how we scale our library. It also means bringing strong judgment about the well-being, mindfulness, meditation, sleep, anxiety, stress, movement, and mental health space, so that our search experience understands not just what a user typed, but what they are likely trying to find next.
This is a product leadership role, but it is also a deeply domain-informed and technically fluent role. If someone searches for “addiction,” we need to know whether the next useful surface might be types of addiction, evidence-informed support pathways, relevant practices, teachers, courses, or safe redirects. If someone searches for “Hatha stretching,” we need someone who understands why “Hatha Yoga” may be the better canonical term, and how adjacent concepts such as Pilates, mobility, breathwork, or restorative yoga should or should not be connected. These decisions shape taxonomy, metadata, ranking, recommendations, and the user's trust in the product.
You should be genuinely AI-enabled in your day-to-day work: comfortable with prompt engineering, structured AI workflows, and tools such as Claude Cowork, Claude Code or similar systems to turn ambiguous product and search problems into working prototypes and operational workflows. You do not need to be a software engineer, but you do need enough technical fluency to work credibly with engineers on search architecture, ranking systems, metadata pipelines, retrieval quality, AI-assisted labelling, experimentation, and the trade-offs behind scalable discovery systems.
About Insight Timer
Imagine a platform which could amplify something as simple as your attendance into deep transformational shifts for humanity. A place where showing up was enough. Where each individual visit combined with millions more to trigger huge waves of health and happiness around the world. What would such a platform look like? Could you even build it? And more importantly, how would you protect it from becoming another Instagram, TikTok or Twitter which magnify the very worst of us.
If we can answer these questions, we believe Insight Timer's community will emerge as one of the most important companies of the 21st century. A place - not a product - which is capable of reversing the modern day health pandemic by harmonising the human spirit before problems arise. And if we get there... well, the opportunities are endless. Imagine a modern-day renaissance where health, belonging and purpose become the new definitions of happiness for hundreds of millions of people around the world, including you.
And all you need to do... is show up.
Key Responsibilities
- Own search & discovery end to end: You bring domain judgment to those decisions, so that search and discovery reflect how people actually think about wellbeing, mindfulness, meditation, sleep, anxiety, stress, movement, spiritual practice, and emotional health.
- Managing search quality: You understand how to evaluate search quality across lexical matching, semantic intent, synonyms, canonical terms, adjacent topics, user context, content quality, safety, and evidence alignment.
- Own browse and recommendations: You will define what a helpful next step looks like after a search: a narrower subtopic, a broader category, an evidence-informed pathway, a daily practice, a teacher, a course, or a safe alternative when the query is sensitive.
- Curation: You'll decide which content earns placement, where, and why. This requires taste, but also wellbeing literacy: knowing the difference between meditation styles, yoga traditions, breathwork modalities, sleep support, therapeutic concepts, spiritual content, and everyday wellness needs.
- Fill the gaps: You will distinguish between simple content gaps and domain gaps: where we need more beginner-friendly practices, stronger evidence-informed content, better support for sensitive needs, more inclusive terminology, or clearer pathways through complex topics.
- Scale the library: You will help design the quality systems that allow scale without losing trust, including metadata standards, review workflows, AI-assisted classification, content quality signals, and human oversight.
- Own the taxonomy: This includes building and maintaining domain-specific ontologies across meditation, mindfulness, sleep, anxiety, stress, yoga, breathwork, music, spirituality, movement, and mental wellbeing, and ensuring they map cleanly into search, browse, recommendations, and content operations.
- Partner with engineering: Work closely with engineering, data, and AI teams on how search actually works: indexing, ranking, retrieval, filters, embeddings, synonym handling, metadata quality, query understanding, evaluation sets, dashboards, and experimentation. You should be able to write clear product requirements, reason through technical trade-offs, and challenge or support engineering decisions without needing to write production code yourself.
- Build search and metadata evaluation loops: Create practical systems for judging whether search is improving, including query review, zero-result analysis, poor-result analysis, relevance rubrics, sensitive-query review, human evaluation, AI-assisted evaluation, and feedback loops from real user behaviour.
- Work alongside AI and clinical/research teams: Partner with our AI and clinical research teams to ensure content pathways, recommendations, and sensitive search experiences are useful, evidence-informed, safe, and appropriately bounded.
- Prototyping: You should be comfortable using AI tools to prototype experiments and improvements. This includes prompt engineering, reusable prompt patterns, AI-assisted evaluation, and using agentic co-working tools to rapidly test product ideas before they become formal engineering work.
- Experience: 8+ years in product at consumer tech companies, preferably ones that have content libraries or marketplace search dynamics.
- Deep in search or discovery: You are comfortable discussing search quality with engineers and data teams, and you understand the basics of how modern search systems work, including indexing, ranking, semantic retrieval, metadata, embeddings, filters, and experimentation.
- Domain expertise in mindfulness and wellbeing: You have real fluency in one or more of meditation, mindfulness, yoga, breathwork, sleep, stress, anxiety, emotional wellbeing, psychology, mental health, or adjacent consumer wellbeing spaces. You do not need to be a clinician, but you need strong enough judgment to understand user intent, content nuance, evidence quality, and risk in this domain.
- Evidence-informed judgment: You know when a recommendation is likely to be helpful, harmless, speculative, unsupported, overstated, or potentially risky. You are comfortable working with clinical, research, and AI colleagues to translate evidence and wellbeing concepts into product decisions without turning the product into a clinical service.
- Technical fluency: You may not be an engineer, but you can work effectively with engineers. You can reason through trade-offs in ranking, retrieval, metadata pipelines, data quality, AI-assisted tagging, evaluation frameworks, and scalable content systems.
- Strong taxonomy and metadata instincts: You understand that metadata is not back-office administration; it is product infrastructure. You can design structures that help users move naturally from query to category to subcategory to practice, while also supporting ranking, recommendations, personalization, localization, and content operations.
- AI-enabled: You use AI as a core part of your daily workflow. You are comfortable with prompt engineering, prompt iteration, structured AI workflows, AI-assisted research, and agentic tools such as Claude Cowork, Claude Code or similar systems.
- UX sensibility: You care about the user's emotional state, not just the interface: someone searching for “panic attack,” “addiction,” “grief,” or “can't sleep” needs a different experience from someone browsing for “morning meditation” or “Hatha yoga."
Nice to Have
- Experience owning search, recommendations, or discovery for a large content library, marketplace, media platform or digital health product.
- Experience with Elasticsearch/OpenSearch, vector search, semantic retrieval, embeddings, recommendation systems, taxonomy tooling, metadata pipelines, or search analytics.
- Experience building or managing ontologies, controlled vocabularies, synonym systems, tagging systems, or AI-assisted content classification workflows.
- Experience working with meditation teachers, clinicians, researchers, therapists, coaches, yoga instructors, spiritual teachers, or wellbeing content experts.
- Experience designing human evaluation rubrics, relevance judgments, search quality reviews, or AI evaluation systems.
- Experience with prompt engineering, eval design, AI agents, Claude Cowork, Claude Code, Cursor, ChatGPT, or similar tools for product prototyping, content operations, metadata enrichment, search quality workflows, and lightweight internal tooling.
Additional Content
We're looking for a Head of Search & Content to ensure our community of over 30 million users can easily find content that's right for them. You'll own the search and content experience across our platform. That means the quality of every search result, what we surface when people are browsing, how we merchandise and promote content, and how we scale our library. It also means bringing strong judgment about the well-being, mindfulness, meditation, sleep, anxiety, stress, movement, and mental health space, so that our search experience understands not just what a user typed, but what they are likely trying to find next.
This is a product leadership role, but it is also a deeply domain-informed and technically fluent role. If someone searches for “addiction,” we need to know whether the next useful surface might be types of addiction, evidence-informed support pathways, relevant practices, teachers, courses, or safe redirects. If someone searches for “Hatha stretching,” we need someone who understands why “Hatha Yoga” may be the better canonical term, and how adjacent concepts such as Pilates, mobility, breathwork, or restorative yoga should or should not be connected. These decisions shape taxonomy, metadata, ranking, recommendations, and the user's trust in the product.
You should be genuinely AI-enabled in your day-to-day work: comfortable with prompt engineering, structured AI workflows, and tools such as Claude Cowork, Claude Code or similar systems to turn ambiguous product and search problems into working prototypes and operational workflows. You do not need to be a software engineer, but you do need enough technical fluency to work credibly with engineers on search architecture, ranking systems, metadata pipelines, retrieval quality, AI-assisted labelling, experimentation, and the trade-offs behind scalable discovery systems.
About Insight Timer
Imagine a platform which could amplify something as simple as your attendance into deep transformational shifts for humanity. A place where showing up was enough. Where each individual visit combined with millions more to trigger huge waves of health and happiness around the world. What would such a platform look like? Could you even build it? And more importantly, how would you protect it from becoming another Instagram, TikTok or Twitter which magnify the very worst of us.
If we can answer these questions, we believe Insight Timer's community will emerge as one of the most important companies of the 21st century. A place - not a product - which is capable of reversing the modern day health pandemic by harmonising the human spirit before problems arise. And if we get there... well, the opportunities are endless. Imagine a modern-day renaissance where health, belonging and purpose become the new definitions of happiness for hundreds of millions of people around the world, including you.
And all you need to do... is show up.
Key Responsibilities
- Own search & discovery end to end: You bring domain judgment to those decisions, so that search and discovery reflect how people actually think about wellbeing, mindfulness, meditation, sleep, anxiety, stress, movement, spiritual practice, and emotional health.
- Managing search quality: You understand how to evaluate search quality across lexical matching, semantic intent, synonyms, canonical terms, adjacent topics, user context, content quality, safety, and evidence alignment.
- Own browse and recommendations: You will define what a helpful next step looks like after a search: a narrower subtopic, a broader category, an evidence-informed pathway, a daily practice, a teacher, a course, or a safe alternative when the query is sensitive.
- Curation: You'll decide which content earns placement, where, and why. This requires taste, but also wellbeing literacy: knowing the difference between meditation styles, yoga traditions, breathwork modalities, sleep support, therapeutic concepts, spiritual content, and everyday wellness needs.
- Fill the gaps: You will distinguish between simple content gaps and domain gaps: where we need more beginner-friendly practices, stronger evidence-informed content, better support for sensitive needs, more inclusive terminology, or clearer pathways through complex topics.
- Scale the library: You will help design the quality systems that allow scale without losing trust, including metadata standards, review workflows, AI-assisted classification, content quality signals, and human oversight.
- Own the taxonomy: This includes building and maintaining domain-specific ontologies across meditation, mindfulness, sleep, anxiety, stress, yoga, breathwork, music, spirituality, movement, and mental wellbeing, and ensuring they map cleanly into search, browse, recommendations, and content operations.
- Partner with engineering: Work closely with engineering, data, and AI teams on how search actually works: indexing, ranking, retrieval, filters, embeddings, synonym handling, metadata quality, query understanding, evaluation sets, dashboards, and experimentation. You should be able to write clear product requirements, reason through technical trade-offs, and challenge or support engineering decisions without needing to write production code yourself.
- Build search and metadata evaluation loops: Create practical systems for judging whether search is improving, including query review, zero-result analysis, poor-result analysis, relevance rubrics, sensitive-query review, human evaluation, AI-assisted evaluation, and feedback loops from real user behaviour.
- Work alongside AI and clinical/research teams: Partner with our AI and clinical research teams to ensure content pathways, recommendations, and sensitive search experiences are useful, evidence-informed, safe, and appropriately bounded.
- Prototyping: You should be comfortable using AI tools to prototype experiments and improvements. This includes prompt engineering, reusable prompt patterns, AI-assisted evaluation, and using agentic co-working tools to rapidly test product ideas before they become formal engineering work.
- Experience: 8+ years in product at consumer tech companies, preferably ones that have content libraries or marketplace search dynamics.
- Deep in search or discovery: You are comfortable discussing search quality with engineers and data teams, and you understand the basics of how modern search systems work, including indexing, ranking, semantic retrieval, metadata, embeddings, filters, and experimentation.
- Domain expertise in mindfulness and wellbeing: You have real fluency in one or more of meditation, mindfulness, yoga, breathwork, sleep, stress, anxiety, emotional wellbeing, psychology, mental health, or adjacent consumer wellbeing spaces. You do not need to be a clinician, but you need strong enough judgment to understand user intent, content nuance, evidence quality, and risk in this domain.
- Evidence-informed judgment: You know when a recommendation is likely to be helpful, harmless, speculative, unsupported, overstated, or potentially risky. You are comfortable working with clinical, research, and AI colleagues to translate evidence and wellbeing concepts into product decisions without turning the product into a clinical service.
- Technical fluency: You may not be an engineer, but you can work effectively with engineers. You can reason through trade-offs in ranking, retrieval, metadata pipelines, data quality, AI-assisted tagging, evaluation frameworks, and scalable content systems.
- Strong taxonomy and metadata instincts: You understand that metadata is not back-office administration; it is product infrastructure. You can design structures that help users move naturally from query to category to subcategory to practice, while also supporting ranking, recommendations, personalization, localization, and content operations.
- AI-enabled: You use AI as a core part of your daily workflow. You are comfortable with prompt engineering, prompt iteration, structured AI workflows, AI-assisted research, and agentic tools such as Claude Cowork, Claude Code or similar systems.
- UX sensibility: You care about the user's emotional state, not just the interface: someone searching for “panic attack,” “addiction,” “grief,” or “can't sleep” needs a different experience from someone browsing for “morning meditation” or “Hatha yoga."
Nice to Have
- Experience owning search, recommendations, or discovery for a large content library, marketplace, media platform or digital health product.
- Experience with Elasticsearch/OpenSearch, vector search, semantic retrieval, embeddings, recommendation systems, taxonomy tooling, metadata pipelines, or search analytics.
- Experience building or managing ontologies, controlled vocabularies, synonym systems, tagging systems, or AI-assisted content classification workflows.
- Experience working with meditation teachers, clinicians, researchers, therapists, coaches, yoga instructors, spiritual teachers, or wellbeing content experts.
- Experience designing human evaluation rubrics, relevance judgments, search quality reviews, or AI evaluation systems.
- Experience with prompt engineering, eval design, AI agents, Claude Cowork, Claude Code, Cursor, ChatGPT, or similar tools for product prototyping, content operations, metadata enrichment, search quality workflows, and lightweight internal tooling.