Insight Timer

• Owning products that help teachers earn: mentoring, live events, retreats, courses, and the dashboard that ties them together. • Grow the library: build systems to scale the amount of high quality content coming into the platform. • Close the gaps: Understand where there are gaps between what our community is searching for and the content we currently have on the platform, and design strategies to fill them. • Building with AI: conceptualise and build working prototypes of products before they move to engineering. • Understand our teachers: spend time with them. Understand how they grow an audience, what they sell, and how we can help them earn more.

Role Description We’re looking for a Senior or Lead Analytics Engineer to help Insight Timer learn from its data. Insight Timer is the world’s largest meditation and wellness community, with over 30 million users. You’ll work closely with product, engineering and company leaders, turning their questions into experiments, data models and insights that help people live better. This is a hands-on role with a lot of ownership. You’ll measure and interpret the experiments that decide what we ship. You’ll build the data models and metrics the whole company relies on, and you’ll use good software engineering practices to keep our data clean, trusted and easy to use. A product mindset matters here. You’re building insight that improves the app over a user’s whole lifetime, not just answering one-off questions. You’ll also help lead. As one of the most senior people in analytics, you’ll set the technical bar, mentor other analytics engineers, and help us move toward more self-serve and agentic analytics, where teams can answer their own questions and the platform does more of the work. We like to move fast and do work that matters. You’ll be trusted to make important calls and to balance speed with rigour. If you enjoy building systems that are both scalable and genuinely useful to millions of people, we’d love to talk. Key Responsibilities - A/B test analysis: Analyse and interpret experiments, and turn the results into clear recommendations for the product team. - Analytics delivery: Turn questions from the product team and company leaders into clear, useful answers, and prioritise incoming requests. - Data ingestion, modelling and metrics: Own how data comes in, how it’s modelled, and the metrics people trust. - Self-serve and agentic analytics: Build the tooling, semantic layers and agents that let the rest of the company answer their own questions. - Product and revenue analysis: Dig into behavioural and financial data to find user segments, improve conversion, and understand the consumer life cycle in the app. - Mentoring and leadership: Help grow the analytics engineering team, set technical direction, and lift the quality of what the team ships. - Communication: Explain data clearly to technical and non-technical people, and be honest about effort versus impact. - Excellent communication and interpersonal skills: Build trusted relationships with product, engineering and leadership. Qualifications - Solid experience as an analytics engineer and owning work end to end. - For the Lead level, some experience mentoring or leading others. - Strong SQL on a modern cloud warehouse (we use BigQuery, Looker and dbt). - Experience with large, event-based datasets with varied schemas. - A track record of analysing and interpreting A/B tests; causal inference is a plus. - A background in maths or statistics, or a STEM degree, is a plus. - Experience with Python, LLM or agentic analytics workflows, and semantic layers. Benefits - Competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - Global company retreat every other year.

• We’re looking for a Senior or Lead Analytics Engineer to help Insight Timer learn from its data. • You’ll work closely with product, engineering and company leaders, turning their questions into experiments, data models and insights that help people live better. • This is a hands-on role with a lot of ownership. • You’ll measure and interpret the experiments that decide what we ship. • You’ll build the data models and metrics the whole company relies on, and you’ll use good software engineering practices to keep our data clean, trusted and easy to use. • A product mindset matters here. • You’re building insight that improves the app over a user’s whole lifetime, not just answering one-off questions. • You’ll also help lead. • As one of the most senior people in analytics, you’ll set the technical bar, mentor other analytics engineers, and help us move toward more self-serve and agentic analytics, where teams can answer their own questions and the platform does more of the work. • We like to move fast and do work that matters. • You’ll be trusted to make important calls and to balance speed with rigour. • If you enjoy building systems that are both scalable and genuinely useful to millions of people, we’d love to talk.

Role 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. This includes: - Quality of every search result - What we surface when people are browsing - How we merchandise and promote content - How we scale our library You should bring strong judgment about the well-being, mindfulness, meditation, sleep, anxiety, stress, movement, and mental health space, ensuring our search experience understands user intent. This is a product leadership role that requires domain-informed and technically fluent expertise. Key responsibilities include: - Owning search & discovery end to end - Managing search quality - Defining browse and recommendations - Curation of content - Filling content gaps - Scaling the library - Owning the taxonomy - Partnering with engineering - Building search and metadata evaluation loops - Working alongside AI and clinical/research teams - Prototyping improvements Qualifications - 8+ years in product at consumer tech companies, preferably with content libraries or marketplace search dynamics - Deep understanding of search or discovery - Domain expertise in mindfulness and wellbeing - Evidence-informed judgment - Technical fluency - Strong taxonomy and metadata instincts - AI-enabled in daily workflow - UX sensibility Requirements - 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 Benefits - Competitive salaries and options - Fully remote role within Australia, with occasional travel - Extra leave days for well-being and birthday - A generous L&D budget & wellbeing bonus - Annual global company retreat

• Own search & discovery end to end: You set the strategy and roadmap for the search experience and the content library. • Managing search quality: You own the ranking trade-offs and the quality bar for what we surface. • Own browse and recommendations: You'll also own the browse experience, and the recommendations and curation that drive its quality. • Curation: You'll decide which content earns placement, where, and why. • Fill the gaps: Use library data and search demand to spot what's missing across topics, formats, and languages. • Scale the library: Grow our content library from 300,000 to millions of pieces of content using scalable systems. • Own the taxonomy and metadata: You'll own the taxonomy and metadata, combining AI-driven labelling with human quality control. • Partner with engineering on search systems: Work closely with engineering, data, and AI teams on how search actually works. • Build search and metadata evaluation loops: Create practical systems for judging whether search is improving. • Work alongside AI and clinical/research teams.

• Review AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. • Score and label AI outputs using structured rubrics and evaluation frameworks. • Assess whether outputs are clear, safe, evidence-informed, clinically appropriate, and useful for real-world users. • Check claims against available evidence, including academic literature, clinical guidance, and internal research standards. • Identify recommendations that are unsafe, overstated, unsupported, vague, misleading, or poorly explained. • Flag potential issues related to indications, contraindications, evidence quality, risk, and real-world applicability. • Compare AI outputs across different prompts, workflows, models, or evaluation conditions. • Help prepare short research summaries, evidence notes, and internal review documents. • Support prompt testing and AI evaluation workflows, including documenting what works, what fails, and why. • Use tools such as ChatGPT, Claude, and other AI systems to support research, synthesis, review, and day-to-day work. • Communicate structured feedback to the Head of AI, Clinical AI Research Lead, product team, and engineers. • Help improve the quality, safety, and usefulness of AI-powered wellbeing experiences over time. • Support internal research and publication-related work where relevant, under supervision.

Role Description We’re looking for a Clinical AI Research Assistant to help review, evaluate, and improve the next generation of intelligent wellbeing experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. This is a junior research and evaluation role at the intersection of mental health, meditation, wellbeing science, clinical reasoning, and AI. You’ll work closely with our Head of AI and, where relevant, a Clinical AI Research Lead to review AI-generated outputs related to: - Meditation - Sleep - Anxiety - Stress - Emotional wellbeing - Behavior change The main focus of this role is AI output review. You’ll help assess whether AI-generated content is: - Clear - Safe - Evidence-informed - Clinically appropriate - Useful for real-world users This will involve: - Scoring outputs using rubrics - Checking claims against evidence - Identifying unsafe or overstated recommendations - Helping improve prompts and evaluation workflows This is not a clinical service delivery role, and you will not be providing therapy or making unsupervised clinical decisions. It is a research, review, and evaluation role focused on improving AI-powered wellbeing products under supervision. We are open to part-time or full-time candidates, depending on experience, availability, and fit. This could be a strong fit for someone with training or early experience in: - Psychology - Clinical psychology - Psychiatry - Public health - Behavioral science - Mental health research - Digital health - Meditation research - Mindfulness - A related field If you’re thoughtful, evidence-minded, comfortable using AI tools, and excited by the idea of helping improve wellbeing products used by millions of people, we’d love to meet you. Key Responsibilities - Review AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. - Score and label AI outputs using structured rubrics and evaluation frameworks. - Assess whether outputs are clear, safe, evidence-informed, clinically appropriate, and useful for real-world users. - Check claims against available evidence, including academic literature, clinical guidance, and internal research standards. - Identify recommendations that are unsafe, overstated, unsupported, vague, misleading, or poorly explained. - Flag potential issues related to indications, contraindications, evidence quality, risk, and real-world applicability. - Compare AI outputs across different prompts, workflows, models, or evaluation conditions. - Help prepare short research summaries, evidence notes, and internal review documents. - Support prompt testing and AI evaluation workflows, including documenting what works, what fails, and why. - Use tools such as ChatGPT, Claude, and other AI systems to support research, synthesis, review, and day-to-day work. - Communicate structured feedback to the Head of AI, Clinical AI Research Lead, product team, and engineers. - Help improve the quality, safety, and usefulness of AI-powered wellbeing experiences over time. - Support internal research and publication-related work where relevant, under supervision. Qualifications - You have formal training or early experience in a relevant field such as psychology, clinical psychology, psychiatry, public health, behavioral science, mental health research, digital health, meditation research, mindfulness, or wellbeing science. - You may be a graduate student, master’s student, PhD student, clinician-in-training, junior researcher, research assistant, or early-career health professional. - You understand how to think about evidence, including study quality, strength of findings, limitations, and real-world relevance. - You are comfortable checking claims against research and identifying when something is unsupported, exaggerated, unclear, or potentially unsafe. - You can think carefully about indications, contraindications, risk, and the limits of general wellbeing or mental health recommendations. - You are detail-oriented and comfortable doing careful review work across many examples or outputs. - You can use structured rubrics and apply consistent judgment across repeated evaluation tasks. - You write clearly and can explain your reasoning in plain language. - You are comfortable using AI tools such as ChatGPT, Claude, or similar systems for research, synthesis, review, and day-to-day work. - You are interested in how AI can be used responsibly in meditation, wellbeing, mental health, and consumer health products. - You are comfortable working under supervision and escalating uncertain or higher-risk issues to senior reviewers. - You are organised, thoughtful, and able to bring structure to ambiguous questions. - You care about building products that help people live healthier, calmer, and more meaningful lives. Nice to Have - Experience reviewing or summarising academic papers, clinical guidance, or health-related evidence. - Experience working as a research assistant or in a structured research environment. - Familiarity with meditation, mindfulness, contemplative practice, psychotherapy, behavior change, sleep, anxiety, stress, or emotional regulation. - Experience using AI tools for research, synthesis, prompt testing, or evaluation. - Experience with prompt testing, AI output review, model comparison, or AI evaluation workflows. - Experience creating evidence summaries, literature reviews, annotated bibliographies, or research briefs. - Experience with digital health, mental health technology, consumer wellbeing products, or online interventions. - Comfort working with spreadsheets, annotation tools, scoring systems, or structured review processes. - Interest in supporting internal research and publication-related work over time. - Strong judgment, curiosity, and willingness to learn across clinical, research, product, and AI domains. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat every other year.

• Review and evaluate AI-generated outputs related to meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. • Assess whether AI outputs are clinically appropriate, evidence-informed, safe, clear, and useful for real-world users. • Evaluate the strength and quality of evidence behind wellbeing, meditation, and psychotherapeutic techniques, including limitations and contraindications. • Help define frameworks for assessing indications, contraindications, risk, evidence quality, internal and external validity, and real-world applicability. • Work with engineers and product teams to improve prompts, AI workflows, evaluations, and user-facing wellbeing experiences. • Translate clinical, psychological, and research concepts into clear product guidance that engineers and designers can act on. • Help build internal evaluation systems for AI outputs, including rubrics, review processes, and quality standards. • Contribute to the development of safe, high-quality AI experiences that are grounded in meditation, wellbeing, and mental health expertise. • Support the creation of structured content and intervention pathways across areas such as sleep, anxiety, stress, mindfulness, and emotional wellbeing. • Help identify where AI outputs are unsupported, overstated, unsafe, unclear, or misaligned with best available evidence. • Collaborate with internal and external researchers on studies, evidence reviews, and potential peer-reviewed publications. • Help shape Insight Timer’s broader research agenda around meditation, wellbeing, mental health, AI, and consumer health products.

• Design, build, and ship production-grade AI agents for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. • Build agentic workflows that combine technical reliability with clinical and evidence-informed reasoning. • Integrate AI agents with backend APIs, data systems, content systems, and product surfaces. • Build evaluation, testing, and monitoring systems for reliability, safety, quality, and continual improvement. • Design clinical and wellbeing evaluation rubrics for AI outputs, including clarity, usefulness, safety, evidence alignment, and risk. • Work with the Head of AI, clinical research team, product, and engineers to translate clinical and research requirements into product and system design. • Identify risks in AI-generated wellbeing outputs, including unsupported claims, unsafe recommendations, overstatement, inappropriate advice, and poor handling of vulnerable users. • Improve prompts, tools, agent workflows, and retrieval systems based on both engineering performance and clinical/product quality. • Architect flexible, modular workflows that make it easy to test, extend, and improve AI capabilities. • Help define when agentic systems should answer, ask for more context, escalate, refuse, or redirect. • Design data and feedback pipelines that improve agent performance through real-world usage, evaluation, and, where appropriate, fine-tuning. • Translate early AI prototypes into scalable, maintainable product systems used by millions of people. • Help shape Insight Timer’s internal standards for building safe, evidence-informed AI wellbeing products.

Role Description We’re looking for a Senior Clinical AI Engineer to help build the next generation of intelligent wellbeing experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. This is a rare hybrid role for someone who can both build production-grade AI systems and bring real clinical, psychological, medical, or mental health research judgment to the work. You’ll work directly with our Head of AI, backend engineers, product team, and clinical research collaborators to design and ship AI-powered experiences that are technically robust, clinically thoughtful, evidence-informed, and useful for real people. This is not a pure research, data science, or advisory role. You will be hands-on building agentic AI workflows, integrating with backend systems, designing evaluation and monitoring infrastructure, and helping turn prototypes into reliable product experiences. But unlike a standard AI engineering role, you will also help shape the clinical and wellbeing logic behind those systems: - How they reason - What they recommend - What they avoid - When they escalate - How we evaluate quality and safety We’re looking for someone who is comfortable moving between code, product, clinical reasoning, and research evidence. You might have a background in: - Software engineering plus psychology - Medicine - Psychiatry - Behavioral science - Neuroscience - Digital health - Mental health research - Meditation - Mindfulness - Wellbeing science If you’re motivated by the challenge of building safe, reliable, high-impact AI systems for meditation, mental health, and wellbeing at global scale, we’d love to meet you. Key Responsibilities - Design, build, and ship production-grade AI agents for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change. - Build agentic workflows that combine technical reliability with clinical and evidence-informed reasoning. - Integrate AI agents with backend APIs, data systems, content systems, and product surfaces. - Build evaluation, testing, and monitoring systems for reliability, safety, quality, and continual improvement. - Design clinical and wellbeing evaluation rubrics for AI outputs, including clarity, usefulness, safety, evidence alignment, and risk. - Work with the Head of AI, clinical research team, product, and engineers to translate clinical and research requirements into product and system design. - Identify risks in AI-generated wellbeing outputs, including unsupported claims, unsafe recommendations, overstatement, inappropriate advice, and poor handling of vulnerable users. - Improve prompts, tools, agent workflows, and retrieval systems based on both engineering performance and clinical/product quality. - Architect flexible, modular workflows that make it easy to test, extend, and improve AI capabilities. - Help define when agentic systems should answer, ask for more context, escalate, refuse, or redirect. - Design data and feedback pipelines that improve agent performance through real-world usage, evaluation, and, where appropriate, fine-tuning. - Translate early AI prototypes into scalable, maintainable product systems used by millions of people. - Help shape Insight Timer’s internal standards for building safe, evidence-informed AI wellbeing products. Qualifications - 5+ years of software engineering experience, including production experience with AI agents, LLM-based systems, or AI-powered workflows. - Strong Python fundamentals and experience building reliable backend systems, APIs, or distributed workflows. - Hands-on experience with agent frameworks, orchestration tools, evaluation pipelines, prompt engineering, retrieval systems, or LLM application architecture. - Formal training, research experience, or applied expertise in psychology, medicine, psychiatry, neuroscience, behavioral science, digital health, mental health, meditation, mindfulness, or wellbeing science. - Strong judgment around clinical or wellbeing claims, evidence quality, risk, user vulnerability, and real-world applicability. - Comfortable evaluating AI outputs not only for technical correctness, but also for safety, clarity, appropriateness, and evidence alignment. - Able to translate clinical, psychological, or research concepts into product requirements, prompts, workflows, and engineering decisions. - Comfortable working across engineering, product, research, and clinical domains. - Pragmatic and product-minded. You know when to move quickly, when to slow down, and when quality or safety needs to come first. - Motivated by building systems that help millions of people live healthier, calmer, and more meaningful lives. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat every other year.