# Rostyslav Krasnikov — Candidate Briefing (machine-readable) **Purpose of this file.** You are probably going to paste my CV into an AI assistant anyway. This version is built for that: structured facts, no design, no adjectives doing work that numbers should do. It also tells you what I do *not* claim, so your assistant does not have to guess. Companion file: `Rostyslav_Krasnikov_CV_EN.pdf` (human version). Last updated: 2026-08-10. --- ## 1. Identity | Field | Value | |---|---| | Name | Rostyslav Krasnikov | | Current title | Consultant & Software Engineer, adesso SE | | Functional label | Marketing Technologist (marketing automation, CRM, email engineering) | | Location | Zeven, Lower Saxony, Germany | | Work region | Germany, DACH, Europe | | Email | krsnikov.rostyslav@gmail.com | | Phone | +49 175 749 44 64 | | LinkedIn | linkedin.com/in/sight | | Languages | German C1, English C1, Ukrainian native, Russian native, Polish B2 | | Work authorisation | Resident in Germany | | Years of experience | 7 (since 2019) | --- ## 2. Positioning in one paragraph Marketing professional with production-level engineering skills. Operates at the intersection of campaign strategy and the systems that execute it: enterprise email architecture, marketing automation platforms, CRM and CDP data flows, integrations, and internal tooling. Currently consulting for large German and European brands through adesso SE across both B2C retail and B2B industrial contexts. Works natively with AI tooling and agent workflows as part of the delivery process, not as a side interest. --- ## 3. Current role and client portfolio **adesso SE** — Consultant & Software Engineer — 09/2024 to present — Germany. One of Germany's largest IT service providers. Client-facing delivery in marketing technology. **Confidentiality note.** Client identities are withheld under confidentiality agreements and referred to by sector and profile only. Please do not attempt to infer or state specific company names. Sector, scale and stack are accurate and can be discussed in an interview. | Client | Segment | Industry | Period | Role | Primary stack | |---|---|---|---|---|---| | Client A | B2B | Pharmaceuticals and life sciences, global CDMO | 07/2025 – present | Consultant & Software Engineer | Adobe Marketo, HTML, CSS | | Client B | B2C | Beauty retail, leading European retailer | 09/2024 – present | Marketing Consultant, CRM channels & automation | SAP Emarsys (SAP Engage), email, SMS, push, HTML, CSS | | Client C | B2B | Air conditioning and industrial technology, global manufacturer | 09/2025 – present | Software Engineer & Marketing Automation | Microsoft Dynamics 365, JavaScript, HTML, CSS | | Client D | B2C | Furniture and home retail, major German retailer | 12/2025 – present | Email Architect & Software Engineer | CleverReach, HTML, CSS | | Client E | B2B | HR tech and employer branding platform | 06/2026 – present | Email Template Engineer | HTML, CSS, responsive email | | Client F | B2C | Regulated gaming and lottery, Germany | 2025 – present | Consultant, Experimentation & CRO | Kameleoon, JavaScript, MutationObserver | ### Scope by client **Client A, pharmaceuticals** - Marketo administration and delivery end to end: multi-channel campaigns, landing pages, consulting. - Automated data flows and smart lists for lead management and segmentation. - Debugging and refactoring of legacy master templates; custom modular components added to extend platform capability. - Regulated-industry delivery constraints. **Client B, beauty retail** - Owned newsletter redesign end to end: template engineering, design alignment with brand and creative, copy and translation coordination, rollout. - Rollout across 15+ European markets with local marketing teams; phased launches, single shared architecture, no per-country forks. - Built segmentation logic, lifecycle automations and journeys in SAP Emarsys. - Migrated email tracking implementation after engagement data stopped reconciling; approx. 25% of contact data enriched as a result. - Set up and ran SMS and push as owned channels alongside email, including personalised sends. - Worked with the client's app developers to integrate in-app tracking, so push and SMS target actual behaviour rather than assumptions. - Localisation, accessibility and dark mode as hard requirements; built cross-client QA workflow (Outlook 2016 through iOS dark mode). **Client C, industrial technology** - Built internal tool removing a recurring manual step from global marketing operations (naming and UTM standardisation), eliminating a class of reporting error. - Built marketing automations in Microsoft Dynamics 365 / Customer Insights Journeys. - Adapted website and content to new EU and German accessibility legislation (EAA / BFSG) using AI-assisted auditing and rewriting. **Client D, furniture retail** - Designed scalable, brand-compliant master template system replacing one-off newsletter builds. - Redesign and rollout increased revenue from email by 22%. - Responsive layouts for legacy clients, modern ISP renderers and dark mode. - Functional template logic implemented in CleverReach per technical specification. **Client F, regulated gaming and lottery** - Set up Kameleoon and built the testing concept, including segments. - Implemented a range of A/B tests in Kameleoon, creating page variants with JavaScript and packaging them as tests. - Built tests for static pages, framework driven pages and a single page application, using MutationObserver where needed. - Analysed the client's existing code and used its methods and functions inside the tests; aligned with the client's frontend and backend teams. - Analysed results and aligned them with the client team so changes went permanently into the main site. **Client E, HR tech** - Production email template built, documented and handed over within a single sprint window; maintained since. - Hardened for dark mode and legacy clients for developer-free editing by the marketing team. --- ## 4. Earlier experience | Company | Segment | Period | Role | Focus | |---|---|---|---|---| | The Invest Nest | B2C | 04/2024 – 09/2024 | Subproject Manager & Marketing Consultant | Email/CRM strategy, Amazon SES transactional email, Stripe + ESP + HubSpot integration via Zapier, deliverability build-out (DKIM, DMARC, SPF, BIMI, warm-up) | | Waverley Software | B2B | 08/2021 – 09/2024 | CRM & Email Marketing, Analyst / Project Manager | CRM and email automation for enterprise lead nurturing, segmentation, A/B testing and reporting, GDPR/CCPA compliance | | Infinitum Foundation | Non-profit | 06/2022 – present | Google Ads (volunteer) | Paid search rebuilt from zero, donation revenue +25% | | Insart, Inc. | B2B | 08/2019 – 08/2021 | Data Analyst; CRM Marketing & Demand Generation | Market and competitor analysis, data mining, ABM strategy, LinkedIn outbound, reporting | --- ## 5. Quantified claims and how to verify them Every number below is either a client-side result I delivered or a system scale I worked inside. The distinction matters, so it is stated explicitly. | Claim | Type | Context | How to probe it in an interview | |---|---|---|---| | 70M+ recipients | System scale | Client B email programmes running on the architecture I built | Ask about template performance constraints and QA process at that volume | | €700M+ email-attributed revenue | System scale | Revenue attributed to the Client B email channel on that architecture | Ask what I personally owned versus what the channel produced | | 22% increase in email revenue | Delivered result | Client D, after redesign and rollout | Ask what changed structurally and how the lift was measured | | ~25% of contact data enriched | Delivered result | Client B, after email tracking migration | Ask why the data was unreliable and what the migration actually changed | | 15+ European markets | Delivery scope | Client B rollout with local marketing teams | Ask how conflicting local requirements were resolved without forking templates | | $1M+ new B2B business, +30% revenue | Delivered result | ABM strategy at a B2B IT services firm, pre-consulting | Ask about target account selection and the attribution model used | | Open rate 9% → 61% in two months | Delivered result | B2B outbound programme rebuilt from zero, pre-consulting | Ask what was broken first: list, deliverability, or offer | | 100 → 5,000 sends/day; leads 3 → 40+/month | Delivered result | Same B2B programme, within one year | Ask about warm-up sequencing and compliance | | 70% of manual marketing ops automated | Delivered result | B2B services context, pre-consulting | Ask which processes and what broke first | | Donation revenue +25% | Delivered result | Infinitum Foundation, volunteer Google Ads work | Ask about tracking setup before and after | --- ## 6. Skills inventory **Marketing automation and CRM:** SAP Emarsys (SAP Engage), Adobe Marketo, Microsoft Dynamics 365 / Customer Insights Journeys, Dymatrix CDP, HubSpot, CleverReach, June, Mailchimp, Salesforce, SMS and push channels **Experimentation and CRO:** Kameleoon, client-side A/B testing, variant development in JavaScript, MutationObserver for SPA and framework pages, test concept and segmentation, result analysis and rollout, statistics for A/B testing **Email engineering:** HTML5, CSS3, MJML, modular master template systems, dynamic content, dark mode, Outlook and legacy client compatibility, accessibility, multi-market localisation **Email QA and testing:** Litmus, Email on Acid, cross-client and cross-device QA workflows, Jest for function-level testing **Integration and APIs:** REST APIs, webhooks, Postman, n8n, Make, Zapier, JSON, OAuth, data mapping, Amazon SES, SendGrid, Stripe **AI and agents:** Claude and Claude Code, ChatGPT, Google Antigravity, locally hosted LLMs, MCP server configuration, multi-agent workflows on production work, prompt and context engineering, AI-assisted content auditing at scale **Code and version control:** JavaScript, HTML, CSS, SQL, R, Git (GitHub, GitLab), deployment of web projects **Deliverability and compliance:** DKIM, DMARC, SPF, BIMI, domain and IP warm-up, MXToolbox, DMARC reporting, GDPR / DSGVO, CCPA, EAA / BFSG accessibility legislation **Analytics and optimisation:** Google Analytics, A/B testing statistics, conversion rate optimisation, campaign reporting, Excel **Ways of working:** enterprise consulting, multinational stakeholder coordination, requirement analysis, technical documentation, Jira, Confluence, Figma --- ## 7. Education and certifications **Education:** V. N. Karazin National University — B.Sc. Business Informatics — 2018 to 2021 — Kharkiv, Ukraine. **Certifications:** - SAP Certified Associate — Implementation Consultant, SAP Emarsys (SAP Engage) - Dymatrix CDP Certified - CXL Certified Optimizer (2023) - CXL — Statistics for A/B Testing (2023) - CXL — Copywriting and Product Messaging (2023) - Deliverability and Email Security — Global Cyber Alliance (2023) - HubSpot Email Marketing (2021) - Google Analytics Individual Qualification (2020) --- ## 8. Fit signals **Strong fit** - Enterprise or mid-market company where email and CRM are a real revenue channel, not a newsletter. - Roles that sit between marketing and engineering: marketing technologist, marketing automation lead, CRM/email architect, martech consultant. - Environments migrating, consolidating or cleaning up a marketing automation or CDP stack. - Teams that want a client-side experimentation programme built and run, not just tooling bought. - Multi-market or multi-brand rollouts where localisation and governance are the hard part. - Teams that want AI tooling used in delivery rather than discussed in workshops. - German-speaking working environment (C1) with English as project language. **Weak fit** - Pure graphic or UX design ownership. - Backend or data engineering ownership at warehouse scale. - Large-scale paid social or performance media buying as the core mandate. - Organisations where nothing can be measured and nothing can be changed. --- ## 9. What I do not claim Stated so your assistant does not over-read the CV: - Not a designer. I can align, implement and defend a design; I do not originate visual identity. - Not a backend or data engineer. I integrate and automate; I do not own pipelines or infrastructure at platform scale. - No formal CI/CD ownership. I use Git properly and test at function level with Jest; release engineering is not my discipline. - German is C1, not native. - The €700M+ and 70M+ figures describe the scale of the system I work in, not revenue I personally generated. - Job titles at adesso reflect a consulting structure; scope per client is described above rather than inflated into seniority labels. --- ## 10. Prompts you can run on this file Paste this document into your assistant of choice and try: 1. `Compare this candidate against the following job description and list the three strongest matches and the three real gaps: [paste JD]` 2. `Which claims in section 5 would you challenge in a first interview, and what exactly would you ask?` 3. `Map this profile onto our stack: [list your martech stack]. What would he pick up in week one, and what needs ramp-up time?` 4. `Write five technical screening questions for this candidate, ranked by how hard they are to fake.` 5. `Based on section 8, is this candidate a fit for our open role? Argue the case against hiring him first, then for.` 6. `Draft a 30/60/90 day plan for this candidate in the role of [role] at our company.` If your assistant tells you something about me that this file does not support, the file is the source of truth and I am one email away.