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SE Ranking, an all-in-one SEO and digital marketing platform, is looking for a Lead Applied Scientist to reverse-engineer how AI search and generative platforms (ChatGPT, Gemini, Perplexity, AI Overviews) recommend and describe brands - and to build the measurement layer that proves what AI visibility is actually worth to a business. This is a founding-level role for a new discipline: AI Search Optimization and Brand Intelligence for Generative AI. This is not classic SEO, and it is not classic data science. You will be the technical owner of the research agenda - from hypothesis to experiment to insight to shipped product capability - and you will work alongside a small team (one ML Engineer today, a second one you will help hire), while staying deeply hands-on yourself. Why this role is different • You get proprietary data most researchers can only dream about: SE Ranking's SERP, backlink, content, audit, GA and GSC datasets, plus Planable's social media data - combined with systematically sampled AI-generated responses • Your output is not only product features. It's the GEO best practice the industry will end up using - with the opportunity to represent that work at conferences and in company research, if that's something you'd enjoy • The discipline is barely a few years old. Nobody is "the expert" yet - the first rigorous answers will come from someone with your access to data How the role splits This is primarily a hands-on technical role with some team leadership on top - you'll stay deeply hands-on in research and modelling, while also directing a small team's day-to-day work: setting technical direction, running 1:1s, unblocking people, and contributing to hiring decisions: • ~45% hands-on research and modelling - you design and run experiments yourself • ~45% technical and project leadership - hypothesis prioritisation, decomposition, methodology review • ~10% people management - directing a small team's day-to-day (1-2 people): setting technical direction, running 1:1s, unblocking people What you'll do - first 90 days • Partner with our SEO/GEO specialists and selected engineers to set up a repeatable experiment pipeline: hypothesis data scope design run insight decision • Run the first 3-4 experiments and, with Product, define candidate features that would give our customers a real AI-visibility practice • Design sampling methods to systematically collect and analyse AI responses across topics, intents and regions - with explicit handling of variance, bias and representativeness • Establish an evaluation framework for LLM outputs, prompts and model behaviour, so results are comparable over time What you'll do - ongoing • Apply LLMs via batch API (including open-weight models) as feature extractors and judges: entity/sentiment/positioning extraction, prompt evaluation on holdout sets, cost-aware batch inference, agentic/tool-using pipelines • Own the team's model evaluation & validation standards: leakage detection, temporal/out-of-time validation, and metric definitions tied to business outcomes • Develop predictive and ranking models - gradient boosting (LightGBM/CatBoost), learning-to-rank (NDCG, precision@K) - for brand visibility, probability of mention in AI answers, and traffic/impressions in AI search and SEO • Build classification, clustering and representation-learning models (embeddings, approximate nearest neighbours) that map how AI systems perceive and position brands • Work directly in ClickHouse (or a similar columnar OLAP) on SERP, backlink, content, audit, GA and GSC data at hundreds-of-millions-of-rows scale, on infrastructure shared with the product • Source hypotheses from across the company and the market, generate your own from patterns in data, and maintain a prioritised backlog with a clear execution cycle • Mentor the ML Engineer(s) you work with: set technical direction, review methodology, delegate meaningfully, and participate in hiring • Turn findings into product features, published research, conference talks and our own GEO best practice - working with Product, Engineering, Marketing and Leadership What you'll bring • 5-6+ years in Data Science or Applied Science, with a track record of taking ambiguous research problems from hypothesis to a shipped decision • Deep, hands-on expertise in ranking & information retrieval (learning to rank, NDCG/precision@K, LambdaRank/LambdaMART) - the core lens for how brands get surfaced by generative AI systems • Strong, current GenAI/LLM expertise: using LLMs as an analysis tool - prompting and evaluating both commercial APIs and open-weight models (e.g. Llama, Mistral, Qwen - models we can run on our own infrastructure), LLM-as-judge or agent-evaluation experience, and an understanding of how sampling, context and model behaviour affect what a model "says" about a brand • Rigorous model evaluation and validation: leakage detection, temporal/out-of-time validation, and choosing metrics …

SE Ranking, an all-in-one SEO and digital marketing platform, is seeking a Senior Product Manager to scale our Data Product - our API and MCP offering - from early traction into a repeatable, scalable revenue line. We've already gone from 0 to 1: we have paying API customers, a fast-growing MCP that recently overtook our classic API in daily unique users, and partners building agentic workflows on top of our data. Now we need someone to own the entire revenue funnel and turn that momentum into further growth of MCP usage and Data MRR. If you get excited about turning a data & developer product into a growth engine - and about making SE Ranking the marketing intelligence infrastructure for AI agents - then this role is for you. Key Responsibilities: You will report directly to Mike Korenugin , VP of Product, and own the entire funnel for the Data Product (API + MCP) : from acquisition and activation, to sales enablement, to onboarding, retention, and expansion. You'll drive two connected revenue engines - net-new MRR from API and Data customers, and net dollar retention (NDR) by embedding MCP and agentic workflows into the core SEO jobs our customers do every day. You'll lead a focused squad with Aleksander Germatsky as your Engineering Manager and Senior Engineers Dominik Stypula and Mikhail Liubushkin shipping the endpoints, infrastructure, and developer experience that make the product sell and stick. On go-to-market, you'll partner daily with Valentyna Havryliuk , our PMM driving API & MCP adoption, and with Alexey Trusevich , the dedicated Account Executive for the Data Product. Beyond your squad, you'll work closely with Demand Gen, SEO, Growth, and PR on getting the product discovered and promoted; with Sales & Success and Support on closing and retaining customers; and with the Data team on coverage, accuracy, and the endpoints customers ask for. Your job is to connect all of these into one growth motion. Initial Focus Areas: • Craft a strategy for Data Product with two goals in mind • Grow Data revenue : understand our current packaging and pricing gaps across plans & products, the PAYG funnel, and credit packs; define a clear, repeatable motion for upmarket deals. Define the inputs (acquisition, activation, expansion) that move the number and hold the product to them. • Drive MCP usage and capabilities: own the MCP adoption track as a strong NDR lever. Scale the adoption flows and lifecycle upsells, close capability gaps customers hit, and make the Claude, ChatGPT, and n8n connector experiences feel amazing. • Ramp up solution engineering for Sales & Success: we’ve got a new person starting as solution engineer and strong L3 technical support, but they would often need your help and insight to unblock AEs and CSMs on credit provisioning, key generation, quota changes, connector troubleshooting; and translating prospect requirements into solutions that win deals. • Learn how Demand Gen & Outbound is connected to Product: partner with PMM and Demand Gen to scale what's working - workshops and MCP bootcamps, ABM, spokespeople and influencer content, PR, and SEO - and to sharpen the website. Help us find exciting API/MCP use cases from top clients and influencers and turn them into content and sales enablement assets. Long-Term Responsibilities: • Make the Data Product a repeatable, scalable revenue line: evolve packaging, pricing, and the self-serve funnel so growth doesn't depend on heroics. Use signals from won and lost deals, usage, and feedback to generate strong hypotheses and continuously improve win rates, activation, and expansion. • Grow MCP into the default "agentic SEO" workflow: keep MCP workflows healthy and lead the move from data to action, so customers believe SE Ranking is the way to automate SEO with AI agents - defending NDR and opening natural paths to expansion and win-back. • Build a real solution-engineering function: grow from firefighting into a system - documentation, tooling, and onboarding that let customers discover and integrate our API and MCP, and let Sales & Success move fast without engineering in the loop. • Expand endpoint & data coverage from the voice of the customer: translate prospect and customer feedback into a prioritized roadmap for new endpoints and data (e.g. URL-level GSC, prompt generation, Local Marketing and AIRT coverage), and partner with the Data team on accuracy and the questions buyers ask about how the data is sourced and validated. • Be a strategic GTM partner across teams: surface trade-offs, unblock cross-team dependencies, and keep Product, Demand Gen, Sales, Success, and Data aligned as priorities and timelines shift. We are destined to be if you have: • Launched new B2B products and taken them from 0 to 1 , leading Sales Enablement and deeply engaging with Demand Gen to achieve GTM success. • Owned a revenue funnel end to end - acquisition, activation, sales enablement, onboarding, retention, and expansion - …

SE Ranking is a profitable, growing B2B SaaS business - around 200 people, remote-first and globally distributed. As the business has scaled into a more complex multi-entity, multi-currency structure, we're hiring a senior controllership leader to own the integrity, accuracy, and audit-readiness of our books. This is a hands-on, build-oriented role for someone who takes real pride in well-controlled, audit-grade financials - and who wants to mature the accounting function as the company's structure and ambitions grow. You'll own the accounting backbone: multi-entity consolidation, internal controls, compliance, and the path to a clean external audit. You'll report to the CFO and work closely with the wider leadership team. If you're energised by raising the bar on how a scaling, multi-entity business runs its numbers, in a fast-moving, low-ego, global team, this is your role. What you'll do • Own the integrity and audit-quality of the financials. Take ownership of the company's accounting integrity and ensure financial reporting is accurate, compliant, and defensible across all entities — in partnership with the accounting team that runs the day-to-day close and statements. • Own multi-entity consolidation and the controls around the close. Own clean, accurate multi-entity, multi-currency consolidation and the control framework that sits around the monthly close, so the numbers are dependable and audit-grade. • Drive audit readiness. Document internal controls, implement defensible revenue recognition, and bring the company to a point where it can confidently face an external audit. • Design and oversee the ERP migration. Lead the design of the QuickBooks-to-NetSuite (or equivalent) migration as the backbone of a more mature, audit-grade finance infrastructure, partnering with the accounting team and NetSuite consultants on execution. • Build the control environment. Establish the accounting policies, internal controls, and process documentation a scaling, internationally distributed business needs. • Own compliance, transfer pricing, and IP. Own multi-jurisdiction statutory compliance and international tax, and lead transfer pricing and the tracking of IP flows across entities for the group's structure — working closely with external advisors. • Own key external relationships. Own the relationships with the company's banks, CPA firm, auditors, and core finance and accounting vendors, including bank communications and reporting. • Lead a lean controllership team. Develop the dedicated support this function needs so controls, compliance, and consolidation scale with the business. We're looking for someone who has • Senior experience. At a B2B SaaS or comparable technology company. You've built or materially upgraded an accounting function, not just maintained a mature one. • Audit pedigree and qualification. A Big Four (or comparable) background with roughly 10+ years in audit and controls, and an ACCA (preferred) or CPA qualification. You've prepared for or managed an external audit of consolidated entities specifically and you know what audit-ready actually means in practice. • ERP migration experience. You've led or played a central role in a finance systems upgrade. You understand what it takes to get from growing to audit-grade maturity. • Multi-currency and international finance experience. Managing books across multiple countries, entities, and currencies is second nature to you. European experience is a strong plus (VAT, local statutory regimes), and you're comfortable with international tax, transfer pricing, multi-jurisdiction compliance, and bridging GAAP and IFRS. • Ownership of a control environment. You've built the controls, documentation, and consolidation discipline behind a dependable close. • Modern, tech-forward mindset. You're comfortable in an async-first, globally distributed environment where Slack and clear written communication are the default. Bonus points, if you have • Experience integrating finance teams or functions post-acquisition. • Experience building and experimenting with AI solutions. You've designed and implemented AI-assisted workflows or automations in a finance context, not just adopted existing tools. • Familiarity with SaaS metrics. NDR, GRR, deferred revenue, and how the accounting supports them. What we offer • 22 days of paid time off, plus your local national holidays • Flexible work hours and a culture that trusts you to manage your time • Private medical insurance or a medical allowance (depending on your location) • Extended paid sick leave so you can fully recover without worry • AI investment. We invest heavily in AI so you'll have the opportunity to build skills that matter for the next decade of your career, not just this role. • A quarterly learning budget for courses, books, or anything that helps you grow professionally • A quarterly wellbeing budget you can use for sport, therapy, or even a good novel • A quarterly …

We're looking for a Senior Data Analyst who's equally happy designing an experiment, arguing about what a metric actually means or modelling data. You'll own the analysis behind how we decide things — which tests are worth running in collaboration with our stakeholders, what the results actually say, and what we should do next — or help build AI Analyst, our internal MCP that lets anyone ask the data a question without filing a ticket. Your work will shape the numbers the company steers by, from the product North Star to the leading indicators that tell us where revenue is heading before it gets there. You'll work across product, marketing, R&D and revenue, alongside a small, senior data team and our engineers, using SQL, dbt, Looker and Python. If you like broad problems, short paths to impact, and having your recommendation actually change what happens — you'll feel right at home. What you'll do • Drive high-impact projects end to end — from a vague business question to a shipped outcome. We'll agree the why and the what together; the how is yours. • Design and assess experiments — judge whether an A/B test is viable in the first place, design it properly when it is, and build a credible pre/post or quasi-experimental read when it isn't • Analyse experiments honestly and say what they mean — including the ones that didn't work, and the ones where the data can't carry the conclusion someone wants • Make recommendations, not just dashboards — a big part of this role is landing a point of view: what we should do, why, and what you'd need to see to change your mind • Define the metrics the company steers by — and how are they impacted by the different levers we have to achieve our goals • Build the datasets and models the rest of us rely on — ETL/ELT transformations, curated datasets per business use case, and our migration to dbt • Help build AI Analyst , our internal MCP, so stakeholders can self-serve answers — and partner closely with product, marketing, R&D and engineering, keeping expectations managed and flagging delays early with a reason and a new date We're looking for someone who has • Solid senior-level experience as a data analyst in SaaS — you know NDR, expansion, contraction and MRR as things you've modelled, not terms you've heard • Real experimentation depth — you've designed, sized and analysed A/B tests, you know when a clean test isn't possible and what you'd do instead, and you're comfortable being the person who says a result isn't significant • A habit of ending with a recommendation — you're analytical and opinionated, you tell people what you think they should do based on evidence, and you're clear about how confident you are • Expert SQL , Python for the work SQL can't do, and comfort in Looker (or a close equivalent) for getting insight in front of people • Strong data modelling and analytics engineering — you build the layer everyone else relies on rather than just querying it, with real dbt mileage • A genuine appetite for AI — you're already using it in your workflow and curious about what it changes for analytics • Generalist range and real autonomy — you move between product, marketing, R&D and revenue questions, drive your own projects, know who to ask when you're stuck, and don't stall when priorities shift in a lean remote team Bonus points, if you have • Data science experience — building ML models and getting them into production • Experience at principal or staff level; we're open to those levels for the right person Where you'll work Remote, from anywhere within CET ±1 — including the EU, UK, Ukraine and South Africa. Hours are flexible, with a general expectation that you're available and responsive across CET 9–5. Flexibility works both ways. What we offer • 22 days of paid time off, plus your local national holidays • Flexible work hours and a culture that trusts you to manage your time • Private medical insurance or a medical allowance (depending on your location) • Extended paid sick leave so you can fully recover without worry • Career map with growth opportunities • A quarterly learning budget for courses, books, or anything that helps you grow professionally • A quarterly wellbeing budget you can use for sport, therapy, or even a good novel • Best hardware for your work (team Apple) • An award-winning product loved by thousands of customers worldwide • A transparent, flexible culture with people at the core of everything we do • Events that are actually fun