Senior Product manager

На данный момент Senior Product manager.

Мои компетенции и опыт

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Summary

• Senior Product Manager (AI/SaaS): launch and scale B2B/B2C products from 0 -> 1 through growth, across AI competitive intelligence and enterprise IoT/ML. Own the full product scope from customer discovery and positioning to monetization, retention, and in-product growth loops. In enterprise environments, reduced Time-to-Value 2x, lowered CAC by 50%, increased adoption from 50% to 80%, and improved NPS from 6.0 to нужен доступ к резюме

• Built an AI competitive intelligence platform from scratch and brought it to early scale: 5% visit-to-signup conversion, 60% activation, 20% 14-day retention, and 15% trial-to-paid conversion. Reduced Time-to-Value to 5 minutes for first insight and 20 minutes for a full report.

• Own product strategy and roadmap through a metrics- and experimentation-driven approach: formulate growth hypotheses, quantify impact on the North Star (Value MAU) and unit economics (CAC, LTV, payback), validate ideas through experiments, and make prioritization decisions based on evidence.

•Lead a 10-person cross-functional team across engineering, design, and marketing: align with C-level stakeholders on goals, roadmap, budgets, and risks; run end-to-end delivery; and own production quality for AI features through evals, regression testing, reliability monitoring, and RCA.

Experience

Senior product manager (AI) | Eyes of wonder, UAE нужен доступ к резюме | нужен доступ к резюме – present

AI-powered competitive intelligence platform transforming public signals into actionable reports. Launched from scratch; now scaling with fast-paced iteration toward product-market fit.

• Defined growth strategy & measurement system: ran 25+ CustDev interviews to build JTBD segmentation; validated positioning via paid experiments (5% visit -> signup). Prioritized roadmap by unit economics and North Star (Value MAU).

• Activation & value delivery: reduced Time-to-Value to 5 min (first insight) by streamlining onboarding. Reached 60% onboarding completion and 20% 14-day retention, achieving 15% Trial -> Paid.

• Product-led growth loops & re-engagement: implemented team sharing/collaboration and CRM integrations to growth referral-driven acquisition and activation; Increased email-to-product CTR from 5% to 9% by adding AI-personalized suggestions (“next-best questions”) in update emails, guiding users to relevant AI Chat queries.

• AI Quality Assurance & Observability: evals criteria and regressions for LLM features (groundedness, citation correctness, latency/cost) and iterated RAG/agent workflows to improve reliability of insights.

• Technical scope: product analytics (funnels/cohorts), LLM features (RAG + agents), evals & regression testing (quality/groundedness, cost/latency), observability, iteration based on user feedback.

Product manager | WellsX LLC, US нужен доступ к резюме | нужен доступ к резюме – нужен доступ к резюме

B2B SaaS platform for the oil & gas industry enabling real-time process optimization through IoT/edge telemetry and ML-based analytics, supporting predictive decision-making across industrial operations.

• Owned product strategy and roadmap, translating market/customer discovery (competitive research, JTBD interviews, hypothesis tests) into quarterly OKRs and delivery priorities aligned with C-level stakeholders.

• Cut time-to-value 2× (from 2 months to 1 month) and reduced CAC by 50% by redesigning onboarding, enablement, and rollout playbooks for enterprise implementations.

• Scaled adoption from 50% to 80% of client production assets and increased NPS from 6.0 to 8.5 through workflow improvements, feedback-driven iterations, and customer enablement.

• Delivered measurable business outcomes: launched a well-service automation pilot with 290% client ROI (€370K+ annual) and 6% operational efficiency gain per site.

• Improved product reliability and delivery predictability: introduced incident management, SLA monitoring, and RCA practices; standardized requirements (JTBD validation, acceptance criteria), reaching CSAT 9.6/10, 90% on-time feature delivery, and 1.5× higher system stability.

• Led the roadmap for an automated drilling initiative, aligning API integrations with hardware systems and ML requirements, reducing manual operations by 70% and improving process compliance by 20%.

Drilling Supervisor| Schlumberger (SLB), oilfield services company нужен доступ к резюме | нужен доступ к резюме – нужен доступ к резюме

• Led complex drilling operations and managed rig personnel across multiple projects, ensuring full compliance with governmental and industry safety standards; proactively prevented incidents, minimizing non-productive operational time.

• Implemented cost- and efficiency-optimization measures, achieving two regional performance records in operational speed and cost savings.

Geomechanics Engineer| MIPT Engineering Center нужен доступ к резюме | нужен доступ к резюме – нужен доступ к резюме

• Developed 1D/3D geomechanical models and automated complex calculations using Python (NumPy/SciPy); executed large-scale simulations on an HPC cluster to support engineering decisions.

• Served as a Business Analyst, defining user requirements and optimizing workflows for Gefest, a proprietary 3D geomechanical simulation system, bridging technical capabilities with user needs.

Education

• нужен доступ к резюме in Petroleum Engineering (with honors), Gubkin Russian State University of Oil & Gas, Moscow, 2018

• нужен доступ к резюме in Technosphere Safety, Gubkin Russian State University of Oil & Gas, Moscow, 2016

Awards & Additional Activities

• Scientific publication: Smart RTOC: Pioneering Precision in Oil & Gas with Dynamic Digital Twins (SPE нужен доступ к резюме

• 5+ presentations at industry conferences, including ADIPEC нужен доступ к резюме Abu Dhabi)

Technical Skills

• AI/ML Engineering: LLMs, Agentic Workflows, RAG (GraphRAG, Hybrid Retrieval), LangChain, LlamaIndex, Prompt Engineering, Evaluation Frameworks (Answer Quality).

• Data & Analytics: Python (NumPy/Pandas), SQL (PostgreSQL), Amplitude, Google Analytics, Microsoft Clarity, Grafana.

• Infrastructure & Backend: Web Crawling, Kafka, RabbitMQ, WebSockets, Zabbix.

• Product Ops & Tools: Figma, Miro, Notion, Jira, Google Ads, Cursor (AI Coding).

• Languages: English - Advanced (Fluent business communication & presentations), Russian - Native.