Hi N***n, I’m Jasmine, an HR Recruiter at StrategyBrain. I’ve been really impressed by your track record,especially building an interview prep platform that scaled to 1,200 users at your Stealth Startup and leading e-commerce logistics products at W***t G***l T***h. We’re partnering with E***t L***s to find a Head of Product, AI and Gamified SaaS Solutions to define and drive AI-powered micro-SaaS roadmaps, leverage gamification, and mentor a growing product team. Would you be open to a brief chat to explore this role and see if it aligns with your next move?

Great to hear, N***n,thank you for your interest! Here’s a quick snapshot of the Head of Product role at E***t L***s: • You’ll own the end-to-end product vision and roadmap for AI-powered micro-SaaS platforms, aligning closely with business goals and user needs. • Lead user research and data analysis to uncover pain points, design delightful experiences, and drive engagement through gamification and generative AI. • Partner with engineering (React.js), design, and go-to-market teams to prioritize features, manage backlogs, and deliver high-quality releases. • Set and monitor KPIs, then iterate rapidly using analytics to boost adoption, retention, and satisfaction. • Mentor and scale a cross-functional product team, fostering innovation, growth, and customer-centricity. I’d love to dive deeper,could we schedule a 20,30 minute call this week? Please let me know your availability, and I’ll send over a calendar invite.

Hi N***n, Thanks for sharing your availability and current challenge around ad-hoc analytics and user research. At E***t L***s, we’ve built a team and infrastructure precisely to tackle those pain points. Here’s how the Head of Product, AI & Gamified SaaS Solutions role maps to your experience,and addresses the gaps you’re facing now: 1. Company & Mission • E***t L***s is a fast-growing EdTech startup focused on AI-driven micro-SaaS solutions for professional learning and recruitment. • We champion data-first product development and gamified experiences to boost engagement and learning outcomes. 2. Role Highlights & Fit • End-to-end ownership: You’ll define the product vision and roadmap,just as you did at your stealth startup,and align it with clear business goals. • Robust analytics foundation: You’ll partner with our data engineers to build formal data pipelines, dashboards, and A/B experimentation frameworks so you can pinpoint friction in real time. • Structured user research: You’ll establish and own a research practice,recruiting users, running studies, synthesizing insights,to iterate rapidly on features. • Generative AI & gamification: Leverage your GenAI background and gamification expertise to craft truly delightful learning experiences that drive retention. • Team building & mentorship: Scale and mentor a cross-functional product squad, fostering a culture of continuous learning and customer centricity. 3. Growth & Impact • You’ll be instrumental in scaling our micro-SaaS portfolio from zero to market leadership,directly influencing company strategy and growth. • We offer mentorship from seasoned AI and SaaS leaders, plus a clear path to senior leadership (VP of Product or beyond). 4. Resources & Benefits • Dedicated analytics and UX research teams to support your initiatives. • Competitive salary, equity options, and flexible hybrid work in Bangalore. • Learning stipend, conference budget, and regular hackathons to fuel innovation. Would Wednesday at 3:00 PM IST work for a 30-minute deep-dive? If you’d prefer Friday, 10:00 AM IST also works,just let me know which slot you’d like, and I’ll send a calendar invite. Looking forward to chatting and exploring how we can solve those analytics and research challenges together. Best, Jasmine HR Recruiter, StrategyBrain (Partnered with E***t L***s)

Hi N***n, Great question,here’s a snapshot of the current team you’d be stepping into and scaling: 1. Product & Analytics Org Today - Product: 3 Product Managers, 1 UX Designer, and a Product Operations Coordinator - Analytics: 2 Data Engineers/Analysts and 1 UX Researcher - Close partners: engineering (React.js), design, and GTM leads 2. Your Span of Control - Directly lead all Product Managers, the UX Designer, and the Product Ops Coordinator - Mentor the Analytics duo and UX Researcher (they have a dotted-line into your org) - Build out as needed,hiring additional PMs, researchers, and data talent 3. Reporting Line - You’ll report directly to the Co-Founder & CEO of E***t L***s - You’ll also partner closely with the CTO/Head of Engineering and our Head of Data on strategic initiatives Looking forward to diving into more details on Friday at 10:00 AM IST. I’ll send a calendar invite shortly,please let me know if you’d like any other context beforehand. Best, Jasmine HR Recruiter, StrategyBrain (Partnered with E***t L***s)

Hi N***n, Great questions,here’s a quick rundown: 1. Analytics & Data Infrastructure - Data pipelines: Our two data engineers maintain event streams via AWS Kinesis into a Redshift data warehouse, with transformations powered by dbt. - BI & dashboards: We use Looker for self-serve analytics and Amplitude for product event tracking, behavior funnels, and cohort analysis. - Experimentation: Feature flags and rollouts are handled in LaunchDarkly, while our A/B tests run on Optimizely. All test results funnel back into Looker and Amplitude for real-time KPI tracking (conversion, engagement, retention). 2. A/B Testing Workflow - Hypothesis & design: PMs define hypotheses and success metrics in JIRA tickets. - Implementation: Engineers instrument feature flags in LaunchDarkly; our data team validates event tagging. - Monitoring & analysis: Results are monitored in Amplitude (real time) and Looker (aggregated dashboards). Insights feed back into the backlog within 48 hours of a test closing. 3. UX Researcher in Sprint Planning - Embedded role: The UX researcher sits with the product squad and attends every backlog grooming and sprint-planning session. - Research backlog: They maintain their own JIRA board of user interviews, usability tests, and diary studies. During planning, PMs slot in “research spikes” alongside feature work. - Cross-functional sync: Mid-sprint, the researcher shares preliminary findings in our stand-up and via a short Confluence doc, so PMs can adjust priorities or acceptance criteria on the fly. - Deliverables: By sprint’s end, the researcher hands off synthesized insights (pain-point maps, annotated videos) directly into the product backlog to inform the next cycle. Let me know if you’d like any deeper detail on a specific tool or process before our Friday call at 10:00 AM IST. Looking forward to diving in further! Best, Jasmine HR Recruiter, StrategyBrain (Partnered with E***t L***s)

Hi N***n, Great questions,here’s how we tackle both: 1. Event Schema Governance & Data Freshness - Schema Registry & Versioning: We maintain a central schema registry (Git-backed) where each event type is defined, versioned, and reviewed via pull requests. Any change triggers a CI check that validates event payloads against the latest JSON schema. - Ownership & Documentation: Every stream has an “event owner” (usually the PM or engineer who introduced it) responsible for updating Confluence docs, example payloads, and downstream impact notes. - Pipeline Orchestration & SLAs: Kinesis pushes raw events into our S3 landing zone, then dbt models run incremental transforms on a 15-minute schedule via Airflow. Critical models (e.g., user actions) also have a Lambda-driven micro-batch process for near-real-time metrics in Redshift. Our monitoring (Datadog + custom SQL validators) alerts us if model latency exceeds 20 minutes or if schema drift is detected. 2. UX Research Cadence & Backlog Integration - Recruiting Rhythm: We maintain a rotating panel of 50,60 end users (learners and recruiters) with regular outreach every sprint. Typically we recruit 8,12 participants 5,7 days before research kicks off,using in-app banners, email campaigns, and our alumni Slack community. - Research Spike Scheduling: Each two-week sprint includes a dedicated “research sprint” block in Sprint Planning. We slot 1,2 spikes (e.g., usability tests or customer interviews) in the first three days, leaving the latter half for synthesis. - Insights into Backlog: By mid-sprint we circulate a 1-page insight memo in Confluence and present key findings at our demo. We then immediately translate pain points and recommendations into new JIRA tickets (tagged UX-spike) so they’re prioritized in the next grooming session. Let me know if you’d like any additional detail before our Friday 10:00 AM IST call. Looking forward to discussing this further and seeing how your experience can strengthen our governance and research practices! Best, Jasmine HR Recruiter, StrategyBrain (Partnered with E***t L***s)

Hi N***n, Great questions,here’s how we tackle both: 1. Breaking Schema Changes - Shadow Deployments & Dual‐Writes: For major payload or field changes, we run dual‐writes (old + new schema) behind feature flags for 1,2 sprints. This gives downstream teams time to adapt without any data loss. - Versioned Events & Deprecation Schedule: Every schema update gets a new version tag in our registry. We publish a 4-week deprecation timeline (displayed in Confluence and our #data-schema Slack channel) and send automated reminders at weeks 3, 2, and 1. After that window, we safely retire the old version and update our CI checks. - Always-On Communication: We hold bi-weekly “schema sync” office hours and maintain a living migration guide with sample payloads, transformation snippets, and rollback steps. 2. UX Panel Rotation & Fresh Voices - Segmented & Rolling Panel: Our 60-member panel is segmented by role (learners, recruiters), experience level, geography, and tech comfort. Each sprint we rotate in 8,10 new participants drawn from sign-ups, alumni Slack, and targeted outreach (e.g., under-represented industries). - Diversity Quotas & Randomization: We enforce mini-quotas (e.g., 30% new to research, 40% non-Bangalore) to keep perspectives varied. Invitations are randomized per sprint so no single cohort over-indexes. - Continuous Recruitment: We recruit 5,7 days before each sprint via in-app banners, email campaigns, and our partner network. Any gaps are filled immediately through a standby list to ensure we never run dry. Looking forward to diving deeper on Friday at 10:00 AM IST. Let me know if you’d like any additional context before then. Best, Jasmine HR Recruiter, StrategyBrain (Partnered with E***t L***s)