Viktoria – Product Strategy, SDLC, Claude LLM, experts in Lemon.io

Viktoria

From United Arab Emirates (UTC+3)flag

Product Manager|Senior

Viktoria – Product Strategy, SDLC, Claude LLM

Viktoria is a Senior Product Manager specializing in API and platform products for communications companies, with nearly a decade of experience, including at Twilio. There, she led two product teams, scaled messaging throughput tenfold, from 1,000 to 10,000 requests per second, and took multiple APIs to general availability. She now builds AI products herself, including a Claude-powered monitoring agent with grounding guardrails and a Chrome extension, taking it from idea to launch. She brings a GTM-aware, transparent way of working with sales, engineering, and customers.

22 years of commercial experience in
AI
Communications
E-commerce
Manufacturing
Marketing
Product management
Retail
Telecommunications
CRM
Platforms
SaaS
Main technologies
Product Strategy
6 years
SDLC
1 year
Additional skills
Claude LLM
AI agent development
RAG
OpenAI
MCP
Anthropic
AI-assisted coding
Chrome extensions
Replit
Webhooks
Salesforce
HubSpot API
API
Python
SQL
Machine learning
Pandas
NumPy
AI API integration
AI
AI system design
Airtable
Product management
Market & Competitive Analysis
Figma
Mixpanel
Project management
Direct hire
Possible
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Experience Highlights

Founder & Product Lead
Feb 2026 - Ongoing8 months
Project Overview

An LLM-powered monitoring agent that collects public data from 7+ sources, uses Claude to triage and summarize risk, and generates branded reports automatically. It’s offered as a licensed product with defined pricing tiers.

Responsibilities:
  • Built and shipped a Claude-powered AI monitoring agent, from problem definition to production.
  • Engineered grounding and evidence-verification guardrails to stop the model from fabricating findings.
  • Delivered the product end-to-end for a client engagement.
  • Packaged the product as a licensed offering with defined pricing tiers.
Project Tech stack:
Anthropic
Claude LLM
OpenAI
RAG
MCP
AI agent development
Founder & Product Lead
Feb 2026 - Ongoing8 months
Project Overview

A Chrome extension built end to end with AI-assisted development and launched on the Chrome Web Store.

Responsibilities:
  • Scoped, built, and shipped the Chrome extension end-to-end.
  • Validated the problem and iterated on the product through to its Chrome Web Store launch.
  • Delivered the product using AI-assisted development.
Project Tech stack:
Chrome extensions
Claude LLM
Replit
AI-assisted coding
Senior Product Manager
Jun 2025 - Feb 20268 months
Project Overview

A new API framework for a CCaaS platform, built to boost indirect sales and open up new customer segments and use cases.

Responsibilities:
  • Led the development of a new API framework from 0 to 1, defining discovery, technical specifications, and delivery with engineering to unlock new customer segments and use cases.
  • Launched GDPR-compliant contact management with native integrations into HubSpot, Salesforce, Zoho, and the WhatsApp Business Platform.
  • Drove quarterly PI planning across product and engineering.
Project Tech stack:
API
HubSpot API
Salesforce
Webhooks
Senior Product Manager
Oct 2024 - Mar 20254 months
Project Overview

Replacing a partner solution in a CPaaS platform’s core with an in-house one, alongside tech debt resolution, system migrations, and platform reliability improvements.

Responsibilities:
  • Stabilized delivery across a backlog of high-impact technical initiatives, covering tech debt, system migrations, and platform reliability.
  • Triaged and reprioritized the roadmap to focus engineering on the highest-risk migration and scalability gaps.
  • Restored team velocity and stakeholder confidence within the first quarter.
Project Tech stack:
AI API integration
Product Partnerships Manager
Jan 2022 - Oct 20242 years 9 months
Project Overview

Growing a CPaaS platform’s WhatsApp partnership from almost no traffic to millions of conversations by building a network of 20+ partners in the MENA region and training the sales team.

Responsibilities:
  • Drove an 800% increase in WhatsApp product adoption by building and managing a portfolio of 20+ strategic partnerships, growing traffic from almost nothing to millions of conversations.
  • Defined partner selection criteria and led commercial and technical scoping.
  • Owned integration roadmaps from first engagement through go-live, and ran quarterly business reviews (QBRs) with partners.
  • Trained the sales team on the WhatsApp partnership offering.
  • Contributed product evaluation and due diligence to M&A processes, assessing integration complexity and platform fit for acquisition targets.
Project Tech stack:
Salesforce
HubSpot API
Product Manager
Sep 2021 - Jan 20224 months
Project Overview

Core features of a cloud inventory and MRP platform for manufacturers.

Responsibilities:
  • Initiated scalability and reliability improvements to the platform’s core MRP services.
Project Tech stack:
API
Product Manager
Dec 2018 - Mar 20212 years 2 months
Project Overview

Platform’s core messaging APIs and SDKs (Conversations API, Sync and Messaging SDKs), used by a community of 10+ million developers.

Responsibilities:
  • Led two product teams responsible for the reliability and scalability of core messaging services.
  • Scaled platform throughput from 1,000 to 10,000 requests per second.
  • Took multiple APIs from beta to general availability, and sunset legacy products to reduce operational overhead.
  • Partnered with engineering, sales, and customer success across time zones to prioritize platform investments by customer impact.
Project Tech stack:
API
Python
Data Analyst & Product Operations
Mar 2016 - Dec 20182 years 9 months
Project Overview

A monitoring system that catches fraudulent and suspicious traffic before customers see it.

Responsibilities:
  • Built monitoring and alerting systems that catch fraudulent and suspicious traffic before it reaches customers.
  • Analyzed fraud incidents and trained ML models to detect them.
  • Built Python tooling with SQL, pandas, and NumPy.
  • Supported product decisions with data pipelines and visualizations.
Project Tech stack:
Python
SQL
Pandas
NumPy
Machine learning

Education

2017
Industrial Mechanics & Maintenance Technology
PhD

Languages

Estonian
Advanced
Russian
Advanced
French
Intermediate
English
Advanced

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