Product Manager : Consumer Experience
We're looking for a Product Manager who turns customer understanding into shipped outcomes.
MyYogaTeacher helps people across the world improve their health and well being through live, personalized yoga. We connect students with experienced yoga teachers in India for 1-on-1 sessions designed around their goals, lifestyle, health conditions, and preferences.
Our platform has served 200K+ customers and supports thousands of live sessions across time zones, devices, payment systems, and customer journeys.
We are now entering a phase where speed, clarity, and execution matter more than ever.
We are looking for a hands-on Product Manager who can speak with students, understand their real motivations, make sound decisions with incomplete information, and work closely with design, engineering, analytics, sales, and operations to ship meaningful improvements quickly.
This is not a role for someone who only writes requirements, manages Jira, or waits for complete data before making a decision.
You will be expected to understand the customer, form a point of view, bring teams together, and drive the product from problem discovery through execution and measurable impact.
What You'll Own
Customer and Persona Understanding
- Develop a deep understanding of our students—their goals, anxieties, motivations, objections, habits, and reasons for choosing personalized yoga.
- Regularly speak with prospective students, active customers, churned customers, teachers, sales teams, and customer support teams.
- Convert customer conversations, behavioral data, support tickets, sales calls, and session feedback into clear product insights.
- Build and continuously refine customer personas and journey maps based on evidence rather than assumptions.
- Understand the underlying job the customer is hiring MyYogaTeacher to do—not merely the feature they are requesting.
- Ensure that product decisions remain connected to why MyYogaTeacher exists: helping people build healthier, happier, and more sustainable lives and identify ambivalence.
Product Discovery and Decision Making
- Identify high impact opportunities across acquisition, trial, conversion, onboarding, engagement, retention, referrals, and reactivation.
- Clearly define the customer problem, target persona, expected behavior change, and desired business outcome before proposing a solution.
- Form strong product hypotheses using qualitative insights, product analytics, market understanding, and business context.
- Make thoughtful decisions even when information is incomplete or circumstances are changing.
- Distinguish between decisions that require deeper research and decisions that can be made quickly and reversed later.
- Maintain a clear product decision log so teams understand what was decided, why it was decided, and what assumptions are being tested.
- Challenge weak assumptions, unnecessary complexity, and solutions that do not address the underlying customer problem.
Execution and Delivery
- Take end to end ownership of product initiatives from problem discovery to launch, adoption, measurement, and iteration.
- Translate product opportunities into clear requirements, user journeys, success metrics, edge cases, and acceptance criteria.
- Work closely with design and engineering to reduce ambiguity and unblock decisions quickly.
- Break large initiatives into smaller releases that allow the team to learn and deliver customer value sooner.
- Participate actively throughout development instead of handing over requirements and waiting for completion.
- Review product builds continuously, identify gaps early, and ensure that the final experience solves the intended problem.
- Drive weekly execution across multiple product initiatives while maintaining clarity on priorities and outcomes.
- Follow through after launch to measure adoption, identify friction, and improve the product based on actual customer behavior.
Product Analytics and Business Impact
- Define measurable outcomes for every major product initiative.
- Use funnel analysis, cohort analysis, customer segmentation, experiment results, and qualitative feedback to understand product performance.
- Monitor key metrics across trial completion, trial-to-paid conversion, onboarding, session attendance, engagement, retention, referrals, and customer satisfaction.
- Investigate unexpected changes in customer behavior instead of relying only on dashboard-level reporting.
- Partner with analytics and engineering teams to improve the quality and usefulness of product data.
- Communicate whether a product initiative worked, what was learned, and what should happen next.
Cross-Functional Leadership
- Bring together engineering, design, analytics, sales, marketing, teacher operations, and customer support around a shared understanding of the customer problem.
- Communicate product decisions clearly and directly across technical and non-technical teams.
- Resolve ambiguity and disagreements by returning the discussion to customer evidence, strategic priorities, and expected outcomes.
- Conduct product demonstrations and training for teams responsible for launching, selling, supporting, or operating new experiences.
- Ensure that teams understand not only what is being built, but why it matters.
- Take accountability for the outcome without blaming dependencies, processes, or other functions when execution becomes difficult.
AI-First Product Management
- Use AI tools as part of your daily product workflow—not as an occasional experiment.
- Apply AI to accelerate customer research synthesis, product analysis, competitive research, requirement development, prototyping, test-case thinking, and documentation.
- Use AI to explore more alternatives and move faster while continuing to apply strong product judgment.
- Help improve how the broader product and engineering organization uses AI to increase execution speed and decision quality.
What You Bring
- 3–6 years of hands-on product management experience, preferably in a consumer internet, marketplace, subscription, health, wellness, education, or engagement-driven product.
- Demonstrated experience owning meaningful product initiatives from discovery through launch and iteration.
- Strong understanding of customer personas, user behavior, funnels, lifecycle journeys, and consumer decision making.
- Experience using qualitative research and quantitative data together to make product decisions.
- Ability to write clear product requirements while avoiding excessive documentation and process.
- Strong product judgment and the confidence to make decisions without waiting for perfect information.
- Experience working closely with engineering, design, analytics, operations, sales, or customer facing teams.
- Comfort reviewing interfaces, customer journeys, data, workflows, and edge cases in detail.
- Strong written and verbal communication skills.
- A bachelor's degree in engineering, technology, design, business, or a related discipline. Exceptional product experience is more important than the specific degree.
What Makes You Stand Out
- You regularly speak with customers instead of relying only on dashboards, second hand feedback, or market reports.
- You can explain the customer persona, the problem, the business impact, and the product decision in simple language.
- You have examples of making a difficult product decision quickly and taking responsibility for the outcome.
- You know when to research further and when to stop discussing and start executing.
- You can identify the smallest useful version of an idea and get it into customers hands quickly.
- You have improved conversion, activation, engagement, retention, or customer satisfaction through products you personally own.
- You are comfortable going deep into product details without losing sight of the larger customer and business outcome.
- You question assumptions respectfully and do not allow unresolved ambiguity to slow the team indefinitely.
- You proactively follow up, close loops, and move work forward without requiring repeated reminders.
- You adapt quickly when customer behavior, technology, business conditions, or company priorities change.
- You use AI tools meaningfully to improve the speed and quality of your work.
- You care deeply about health, behavior change, yoga, wellness, or helping people build sustainable habits.
This Role May Not Be Right for You If
- You prefer strategy and presentations over direct involvement in execution.
- You consider writing requirements to be the end of product ownership.
- You wait for complete data, perfect alignment, or detailed instructions before making decisions.
- You rarely speak directly with customers.
- You need a large team or extensive processes to move an initiative forward.
- You measure success by the number of features launched rather than changes in customer or business outcomes.
- You avoid difficult conversations or allow important decisions to remain unresolved.
- You believe product management is primarily about managing backlogs, meetings, and timelines.
How We Work
- Small, high output teams with low bureaucracy and high ownership.
- Product, design, engineering, analytics, and operations work closely from discovery through launch.
- We ship frequently, learn from customer behavior, and improve continuously.
- We expect clear thinking, direct communication, and fast follow-through.
- Customer conversations are part of the job, not a separate research activity.
- AI tooling is embedded into how we research, decide, document, build, test, and learn.
- Titles matter less than ownership, judgment, and measurable impact.
Learn more at myyogateacher.com