Hi L***s, I came across your profile and was impressed by your 17 years leading G***e and your thought leadership in CRM and marketing automation. I’m J***e, an HR Recruiter at StrategyBrain. We’re partnering with N***M Systems,a fast-growing SaaS innovator,to recruit a Chief Product Officer who will define the next-generation CRM & marketing automation roadmap. Your background seems like an ideal match. Would you be open to a brief conversation to learn more about this opportunity?

Hi L***s, Thanks for your quick response,and congratulations on building G***e into a market leader. I’d love to share more about N***M and the Chief Product Officer role before we jump on a call. About N***M Systems • A VC-backed SaaS innovator in CRM & marketing automation, serving mid-market and enterprise clients worldwide. • Agile, collaborative culture with cutting-edge technology,ideal for experienced product leaders. Chief Product Officer , CRM & Marketing Automation 1. Define and drive the product vision and roadmap for our next-gen CRM and automation platform. Your 17 years architecting G***e’s end-to-end solutions make you a perfect fit to lead this charge. 2. Lead and mentor cross-functional teams (engineering, UX, QA, marketing) to deliver innovative, user-centric features on time. 3. Act as our external evangelist,speaking at industry events, hosting webinars, and authoring thought leadership (your “CRM For Dummies” pedigree is a huge asset). 4. Partner with sales, customer success, and strategic partners to turn real-world feedback into prioritized enhancements and measurable outcomes. 5. Champion a data-driven, rapid-experiment culture across the product lifecycle. Why this matters for you • Executive influence: You’ll sit on our leadership team and shape company strategy. • Growth & resources: Competitive salary, equity package, performance bonuses, plus dedicated R&D and marketing support. • Career impact: Opportunity to build one of the most advanced CRM platforms in the industry and elevate your thought leadership. Does this align with what you’re looking for? Let me know if you’d like any more details. I’m available for a 20-minute call on: • Wednesday, 9:00,11:00 AM PT • Thursday, 2:00,5:00 PM PT • Friday, 10:00 AM,12:00 PM PT Which slot works best for you? Looking forward to our conversation. Best, J***e HR Recruiter, StrategyBrain

Hi L***s, Great,Thursday at 2:30 PM PT is confirmed. Right now, the core product organization is about 12 full-time product professionals (product managers, UX designers, QA engineers and data analysts), working in agile pods alongside roughly 30 back-end and front-end engineers. Our platform is cloud-native and built on AWS: a microservices-based backend (Node.js/Java), a React-driven UI, containerized via Kubernetes/Docker, and Python-powered data pipelines for analytics and automation. The first, biggest challenge we’d want you to tackle is unifying several legacy modules into a single, scalable CRM & marketing automation platform,streamlining our release process, improving performance at scale, and establishing a robust, data-driven experimentation framework. Given your track record architecting end-to-end solutions, you’d be in a perfect position to drive that consolidation and set the roadmap for rapid innovation. Let me know if you’d like any more details before our call. Looking forward to speaking on Thursday at 2:30 PM PT! Best, J***e HR Recruiter, StrategyBrain

Hi L***s, Happy to dive in. 1) Legacy modules • Today they’re separate, pre-microservices codebases,each deployed independently as monoliths and not containerized. • Our newer stack is fully microservices-based (Node.js/Java backends, React front-end, Python data pipelines) containerized via Docker/Kubernetes on AWS. 2) CI/CD maturity • New microservices: mature, Git-triggered pipelines with automated build, unit/integration tests, staging/production deploys, and rollback capabilities. • Legacy modules: still rely on scripted, semi-manual pipelines with QA checkpoints,an immediate modernization opportunity for the incoming CPO. 3) Experimentation tooling • We have a basic feature-flag system and A/B testing framework tied into our analytics pipeline,enough for quick pilots but not yet a full enterprise experimentation platform. • Elevating this into a robust, data-driven experimentation and insights engine is one of the first items on the roadmap. Looking forward to exploring this in more detail on Thursday at 2:30 PM PT. Best, J***e

Hi L***s, Great questions,here’s a bit more color ahead of Thursday’s call: 1) Legacy modules • We’re managing roughly half a dozen standalone monoliths (CRM core, email automation, campaign workflows, reporting, integrations, etc.). None are containerized today, and the majority are Java-based from our pre-microservices era. 2) DevOps/platform ownership • We don’t have a dedicated DevOps org. Each engineering pod maintains semi-manual CI/CD scripts with QA handoffs. Modernizing these pipelines,centralizing builds, automating tests and deployments,would be a key part of your remit as CPO, partnering closely with a small platform engineer. 3) A/B and analytics tooling • Our current experimentation setup is a basic feature-flag system feeding into our Python-powered analytics pipeline. We capture events in our data warehouse and slice results via SQL-driven dashboards. It works for quick pilots but is primed for a more enterprise-grade framework under your leadership. Hope this helps,looking forward to diving deeper on Thursday at 2:30 PM PT. Feel free to ping me with any other questions in the meantime. Best, J***e HR Recruiter, StrategyBrain

Hi L***s, Great follow-ups,here’s some more color before Thursday: 1. Monolith databases , All six legacy modules currently run on a single relational database (hosted in AWS), with each module isolated in its own schema. Decoupling them into service-specific data stores is a key part of the modernization roadmap. 2. Feature-flagging , We’re using a custom, homegrown feature-flag system that feeds directly into our Python analytics pipeline. It covers toggles and basic A/B tests today, but we’re eager to evolve it into an enterprise-grade solution under your leadership. 3. Platform team , Right now there’s one dedicated platform engineer handling CI/CD scripting and infrastructure automation. As CPO, you’d partner closely with them and drive expansion,ideally growing this into a small platform team (2,3 engineers) focused on pipeline maturity and tooling. Let me know if you’d like any more details ahead of our 2:30 PM PT call on Thursday. Looking forward to digging in further! Best, J***e

Hi L***s, Here’s the detail you asked for: 1. RDBMS & HA • We’re on AWS RDS for PostgreSQL (v12), running in Multi-AZ for high availability and automated failover. • We also maintain a read-replica (in a separate AZ) primarily for reporting and analytics. 2. Phased decoupling timeline • Phase 1 (Q3): Spin off email automation & campaign workflow schemas into their own PostgreSQL instances, with containerized microservices aligned. • Phase 2 (Q4): Decouple the core CRM and reporting schemas,establishing dedicated data stores and API-driven sync. • Phase 3 (Q1 next year): Tackle integrations and partner modules, plus finalize cross-service data orchestration. Each phase is scoped for ~6,8 weeks, running in parallel with CI/CD modernization sprints to ensure smooth rollouts. Looking forward to unpacking this further on our call tomorrow at 2:30 PM PT. Let me know if you’d like any architecture docs in advance. Best, J***e HR Recruiter, StrategyBrain

Hi L***s, Here’s a rough breakdown ahead of our call: 1. Data volumes & transaction rates (per schema) - CRM core: ~400,500 GB, average ~200 writes/sec (peaks ~500 writes/sec) - Email automation: ~150,200 GB, ~250,300 messages/sec during sends - Campaign workflows: ~80,100 GB, ~100,150 transactions/sec - Reporting: ~300 GB, ~300 read queries/sec (spiky) - Integrations: ~30 GB, ~40,50 API calls/sec - Partner modules: ~20 GB, ~15,20 calls/sec 2. RPO/RTO targets by phase - Phase 1 (email & workflows): RPO < 15 min, RTO < 1 hour - Phase 2 (CRM core & reporting): RPO < 10 min, RTO < 45 min - Phase 3 (integrations & partner modules): RPO < 5 min, RTO < 30 min 3. Architecture & migration docs I’ll send over a concise deck by email that includes: • Multi-AZ RDS PostgreSQL topology and failover flow • Read-replica configuration • High-level schema migration plan and rollback strategy Let me know once you’ve had a chance to review, or if there’s anything you’d like me to clarify before our 2:30 PM PT call tomorrow. Looking forward to diving deeper! Best, J***e HR Recruiter, StrategyBrain