Vetted CRM Professionals

“Hands-on IT/engineering executive who has led high-impact architecture changes and compliance-driven data systems. Notably built an internally developed columnar database at Troparé (with dual-support UI for legacy/new DBs) and shipped an MVP in 3–4 months with dramatic performance improvements, and previously delivered PCI/opt-out compliant deletion workflows while addressing DB performance and migrations.”

“Marketing/PR professional with B2B/B2C demand-gen experience in the trucking/fleet space, including influencer sourcing/vetting (NDAs, background checks) and performance marketing. Has run Meta-driven acquisition funnels to landing pages/Marketo forms routed to Sales, measuring impact by completed credit applications, and partnered with Exxon to build monthly sales calendars and sales-ready social content.”

“Partnerships and GTM operator with experience across healthcare and the creator ecosystem: sourced and negotiated influencer deals for hormone healthcare products, and leveraged a personal network to land a major B2B white-label partnership driving steady monthly B2C sales. At TELUS Health, led a Learning product relaunch from one-time purchases to subscriptions (28% conversion vs 30% goal) and built a webinar acquisition loop optimized through iterative conversion experiments.”

“Customer-facing implementation/security-focused professional with experience at Freshworks and IMImobile (Cisco), advising enterprise customers on app security for CRM/ITSM and sensitive/PII workflows. Has led threat-model-driven remediation for API/RBAC/token risks and troubleshot complex cloud integration incidents (token expiry + load balancer misrouting) using logs/metrics/tracing, escalating with clear technical reports to accelerate engineering fixes.”

“Backend engineer who built an e-commerce order processing service in Python/Flask with PostgreSQL, focusing on correctness and reliability (idempotency, Redis locks, async payment processing with circuit breakers). Also integrated an ML recommendation system as a separate FastAPI inference service with caching and async embedding updates, reporting ~25% CTR lift, and has experience with multi-tenant isolation using PostgreSQL row-level security.”

“Backend-focused Python/Flask engineer with strong performance and scalability experience across PostgreSQL/SQLAlchemy optimization, caching, and async processing. Has implemented multi-tenant data isolation (schema/db per tenant with RBAC and encryption) and integrated TensorFlow-based ML inference behind a Flask REST API using Redis caching, batching, and async execution; reports measurable wins like cutting endpoints from 6–8s to ~2s and increasing throughput 3–4x via Celery queues.”