Jobs

We’re currently supporting our US-based client as they expand their e-commerce project, and we’re looking for Customer Support Agents who speak German and English fluently, enjoy helping people, and are excited to grow with a supportive team.
 

What you'll be doing:
- Helping customers with their questions and concerns across multiple channels (chat, email, phone calls, etc.)
- Staying in touch with the team during your shift to solve issues faster together
- Making sure each customer gets clear, friendly, and helpful responses

What we’re looking for:
- Prior experience in support? Great!
No experience? Also great — we love people who are eager to learn!
- You’re okay with our schedule: Mn-Fr 9 a.m. - 6 p.m. US Central Time
- You're calm under pressure and genuinely care about helping people
- You’re comfortable communicating in German and English, both written and spoken — at least B2 level

What you’ll get:
- 100% remote work — wherever you feel most productive
- Full onboarding & training — we won’t leave you guessing
- Supportive startup vibe — small team, no bureaucracy
- Room to grow and become a pro in customer support
 

If you're someone who enjoys solving problems and making someone’s day a little easier — we’d love to hear from you! 🚀

We’re currently supporting our US-based client as they expand their e-commerce project, and we’re looking for Customer Support Agents who speak Italian and English fluently, enjoy helping people, and are excited to grow with a supportive team.
 

What you'll be doing:
- Helping customers with their questions and concerns across multiple channels (chat, email, phone calls, etc.)
- Staying in touch with the team during your shift to solve issues faster together
- Making sure each customer gets clear, friendly, and helpful responses

What we’re looking for:
- Prior experience in support? Great!
No experience? Also great — we love people who are eager to learn!
- You’re okay with our schedule: Mn-Fr 9 a.m. - 6 p.m. US Central Time
- You're calm under pressure and genuinely care about helping people
- You’re comfortable communicating in Italian and English, both written and spoken — at least B2 level

What you’ll get:
- 100% remote work — wherever you feel most productive
- Full onboarding & training — we won’t leave you guessing
- Supportive startup vibe — small team, no bureaucracy
- Room to grow and become a pro in customer support
 

If you're someone who enjoys solving problems and making someone’s day a little easier — we’d love to hear from you! 🚀

Client is a leading CPQ (Configure Price Quote) and revenue execution platform that automates complex quoting, contract management, and subscription billing for enterprise sales teams. The company helps businesses accelerate their sales cycles and improve deal accuracy through AI-powered automation and seamless CRM integrations.

Responsibilities:

• Hands-on angular development.
• Integrate testing best practices in our product
• Identify and address performance issues
• Interact with our back-end systems
• Develop and grow the frontend team, and mentor junior developers.
• Work closely with the founding team and product managers
• Innovate, Learn, and Teach
   

Requirements

• At least 8 years of experience in front-end development
• Deep knowledge Experience in Angular
• Deep knowledge and understanding of front-end architecture and experience in building large-scale web applications
• Experience with Angular CLI, Angular testing (Jasmine, Karma), and Webpack (advantage)
• Deep understanding of the web environment and how it works.
• Experience in working with complex projects and hands-on experience in building scalable, highly available, and responsive web applications.
• Have a passion for UI/UX
• Comfortable working in a fast-paced environment.
• Excellent communication skills and ability to drive requirements
• BSc. in Computer Science or equivalent experience.
   

Upper rate range: B2B T&M cooperation

We are looking for a skilled and motivated DevOps Engineer to join our client's Infrastructure & Platform team. Their department is the backbone of the entire development process — they design, implement, and maintain the processes, methodologies, and technologies that power the platform, ensuring high standards of quality, performance, security, availability, and agility.
 

What You'll Be Doing:

• Develop and maintain robust CI/CD pipelines
• Design, implement, and maintain scalable cloud infrastructure (AWS & GCP)
• Identify and minimize reliability and security-related risks
• Perform infrastructure performance analysis and optimization
• Build tools for monitoring, testing, and system diagnostics
• Collaborate closely with development teams to support their needs
   

What We're Looking For:

• 2+ years of hands-on DevOps experience in Cloud or SaaS environments (AWS & GCP required)
• Proven experience with High Availability, Scalability, and Reliability solutions
• Solid networking knowledge
• Experience building and maintaining CI/CD pipelines
• Proficiency in scripting — Bash and/or Python
• Experience managing Infrastructure as Code (IaC) stacks
• Hands-on experience with Kubernetes
• Strong communication, collaboration, and problem-solving skills
• Comfortable working remotely, including on-call shifts
• Fluent in English
   

Nice to Have:

• Multi-Cloud architecture experience
• Understanding of Application Lifecycle Management (ALM)
• Experience with CDNs
• Familiarity with databases — MongoDB, PostgreSQL

BENAUR LLC

BENAUR LLC is an international company developing innovative offline entertainment projects across the U.S. and Europe. We are currently seeking a Finance manager to manage the company’s accounting operations, support financial reporting, and coordinate with tax consultants and external advisors.

This is a remote position with collaboration across an international team.

Key Responsibilities

• Manage day-to-day accounting operations for the U.S. company
• Maintain and oversee bookkeeping in QuickBooks Online
• Prepare financial reports, including P&L and Cash Flow reporting
• Process and manage invoices, payments, and accounting documentation
• Monitor expenses, budgeting, and financial performance
• Support management reporting across multiple entities within the group
• Coordinate with external tax consultants and auditors regarding tax reporting
• Review, improve, and optimize accounting workflows
• Support transparent and efficient financial processes for management

Requirements

• Degree in Accounting, Finance, or Economics
• Proven experience as an Accountant or Chief Accountant
• Practical experience with QuickBooks Online, including bank feeds, invoicing, and reconciliations
• Strong proficiency in Excel and Google Sheets, including pivot tables, advanced formulas, and multi-sheet data management
• English proficiency at B2 level or higher (written and spoken)
• Basic understanding of U.S. accounting and taxation, including LLC / S-Corporation structures
• Experience with Ukrainian FOP accounting (Group 2 and 3 simplified taxation preferred)
• Experience in management accounting, including reporting for multiple entities and presenting financial results to ownership
• Strong analytical skills, attention to detail, and structured approach to work
• Ability to manage ad hoc tasks, prioritize effectively, and work in a multi-tasking environment
• Strong communication skills and ability to work independently in a remote team

Nice to Have

• Experience: International tax planning and optimization (EU, USA)  and international business model optimization.

What We Offer

• Opportunity to work in an international company with creative and cultural projects
• Fully remote work format with flexible schedule
• Competitive compensation linked to the U.S. dollar
• Long-term cooperation and stability

If you would like to become part of our team and contribute to unique projects, please send your resume.

AI-First Developer — Psychable

Location: Remote (US, Eastern Europe, China/Taiwan, or Latin America preferred; Miami is a plus) 

Reports to: Founder & CEO 

Type: Contract-to-hire / Fractional (Full-time path available) 

About Psychable

Psychable is the leading online community connecting individuals with professional, trusted psychedelic therapists, clinics, and wellness practitioners. We operate a content-rich WordPress platform with a practitioner directory, tiered membership program, integration courses, and a growing ecosystem of healing professionals, serving hundreds of thousands of monthly visitors in one of the fastest-evolving sectors in health and wellness.

We are founder-led, mission-driven, and independent. We are at a critical inflection point: the vision is clear, the audience is growing, and the infrastructure needs to match the ambition.
 

Why This Role Exists

Psychable has built meaningful traction on a WordPress foundation with a small, scrappy team. But we've reached the ceiling of what manual processes and off-the-shelf plugins can support. We need someone who can look at what we've built: the directory, the membership tiers, the content engine, the data we're sitting on, the practitioner relationships, and architect the systems that turn all of it into a scalable, revenue-generating machine.

This is not a "maintain the website" role. This is a build-the-engine role.

We need someone who thinks AI-first, not as a buzzword, but as an operational philosophy. Someone who reaches for automation before manual process, who sees a spreadsheet of thousands retreat centers and immediately thinks about enrichment pipelines, who looks at our practitioner onboarding flow and sees where an AI agent could reduce it from 12 steps to 3.

What You'll Build & Own

Platform & Infrastructure

• Evolve our WordPress ecosystem, optimize, extend, or architect the path beyond it as needed
• Build and maintain the practitioner directory with intelligent match/search, filtering, booking integrations, and lead routing that actually works at the membership tier level 
• Implement payment systems, subscription management, and membership automation that reduce manual intervention to near-zero
• Ensure site performance, security, uptime, and SEO technical health across the platform

AI-Powered Automation

• Design and deploy AI agents and workflows that automate practitioner onboarding, lead distribution, content publishing, email/SMS campaign triggers, and data enrichment
• Build internal tools powered by LLMs (Claude, GPT, or equivalent) for content generation, data processing, and operational support
• Create automated pipelines for scraping, enriching, and activating practitioner and retreat center databases from public directories
• Implement AI-driven personalization, matching individuals with the right practitioners based on modality, location, availability, and fit

Data & Growth Systems

• Build the data layer we're missing: CRM integrations, analytics dashboards, membership metrics, practitioner engagement tracking, and revenue attribution
• Design outreach and enrichment systems that turn raw directory data into actionable sales and partnership pipelines
• Connect the dots between our content (SEO), our directory (discovery), our memberships (revenue), and our community (retention) with measurable, instrumented flows

Compliance & Trust

• All messaging systems (email, SMS) must be TCPA/10DLC compliant  
• Health content touches YMYL territory; any AI-generated or AI-assisted content pipelines must respect these standards
• Data privacy, practitioner confidentiality, and platform security are table stakes

Who You Are

You build with AI as a first principle, not an afterthought. You use Claude Code, Cursor, Copilot, or similar tools daily, not because someone told you to, but because you can't imagine working without them. You've shipped real things with AI agents, not just experimented.

You're a full-stack generalist who leans toward backend and systems. You can wire up a WordPress site, build an API, write a Python script to enrich thousands of records, deploy a Next.js frontend, and configure a CI/CD pipeline, all in the same week. You don't need a team of five to get something live. You lean it, do it yourself and get it done, even with AI agents.

You think in revenue, not just in code. When you look at a practitioner directory with tiered memberships, you see the funnel. You understand that the booking integration isn't a feature request, it's how members justify their $600/year. You ask "what does this unlock for the business?" before "what framework should I use?"

You're comfortable in ambiguity. We're a very resourceful team. Requirements won't always be spec'd out. You'll sometimes get a voice note and a Notion page and need to turn it into a working system. That excites you, not frustrates you.

You care about the mission. You don't need to be a psychedelic practitioner, but you understand that this work matters, that connecting people with the right healer at the right time can change a life. You approach the platform with that gravity.

Technical Environment

Current stack:

• WordPress  
• PHP / MySQL 
• Google Sheets / Notion  
• GHL or similar  
• Slack 
• Various WordPress plugins for directory, membership, and payments

What we expect you to bring or introduce:

• Python for automation, scraping, data enrichment, and AI agent workflows
• Experience with LLM APIs (Anthropic Claude, OpenAI) and building production AI workflows, not just prompting, but chaining, function calling, RAG, and agent architectures
• Modern frontend (React/Next.js) if and when we evolve beyond WordPress for specific surfaces
• API design and integration (payment processors, booking systems, CRMs, third-party directories)
• CI/CD, version control, and deployment best practices
• Familiarity with SEO technical requirements (site speed, structured data, crawlability, Core Web Vitals)

Nice to Have

• Experience building or scaling a marketplace or directory platform
• Background in health, wellness, or regulated industries
• Familiarity with Clay, Apollo, or similar data enrichment tools
• WordPress plugin development or WP REST API experience
• Experience with HIPAA-adjacent data handling

How to Apply

Send us:

1. A brief video on why this role calls to you, we want to hear your voice, not a cover letter template
2. One or two examples of something you've built where AI was core to the solution (links, repos, or a short writeup)
3. Your rate or salary expectations and preferred engagement structure (fractional, contract-to-hire, full-time)

We are very intentional. If the fit is right, you'll know within a week.

We welcome applicants of all backgrounds and believe that diverse perspectives strengthen our community and our platform.

You are a universal soldier, a swiss-army knife when it comes to the front-end frontline of a website, a service, or a marketplace. You're comfortable working with a talented band of designers and engineers. Does that sound like yourself? Then we have an opportunity for you.

Who you are:

• You have at least 2+ years of relevant work experience;
• You have strong knowledge of HTML 5, CSS3, responsive, cross-browser markup, and CSS preprocessors;
• You know JavaScript and you are aware of the latest ES features;
• You are confident with React framework;
• You understand HTTP capabilities and you worked with API integration via REST;
• You have experience working with WebPack / Parcel, Babel;
• You have an economics or mathematics degree (education);
• You're a naturally empathetic problem solver;

• You are ready to self-educate and learn things from above rapidly, still delivering the result in time.

   

Bonus points for:

• You worked with Storybook or a UI library (Material UI);
• You’ve designed APIs or worked with GraphQL;

• You are capable of speaking English to talk to a client.

   

As a front-end engineer, you'll:

• Translate UI/UX designs from Figma to actual markup and code;
• Build front-end systems for stand-alone products;
• Make a technical assessment of designs;

• Take part in the estimate process.

   

Here are some examples of tasks you would be doing:

“Take Figma designs and convert them into re-usable react components”, “Create a wizard onboarding form based on designs and requirements", “Add a feature to an existing project”.

 We're Hiring: Web Scraping Support Engineer (Remote)
Hello everyone! Massive is looking for a Web Scraping Support Engineer to join our fully remote team. If you dream in selectors, wake up parsing HTML, and genuinely enjoy helping people solve gnarly data extraction problems — this one's for you.

 What is Massive?
Massive is an infrastructure company powering data-driven innovation at scale. We operate a global proxy network, build managed APIs for search engines (SERP), and Web Unblocking API to bypass anti-bot measures for large-scale data collection and processing.

 Why This Role Is Different
Most support roles are reactive. This one isn't. You're the person customers trust when their scraping pipeline breaks at 2 AM, when a target site changes its structure overnight, when nothing works and nobody knows why. You don't just answer tickets — you solve problems that other engineers can't.

 Who We're Looking For
 

• Troubleshoots in Their Sleep: Broken selectors, anti-bot walls, rotating proxies, CAPTCHAs, headless browser quirks — you've seen it all and you fix it before your coffee gets cold
• AI is your best friend - you know how to leverage AI to be 10X faster and more productive
• Customer-Obsessed & Likable: You're the person customers ask for by name. You explain complex concepts in plain language and people genuinely enjoy working with you
• Can Scrape Anything, Anywhere: SPAs, paginated APIs, rate-limited endpoints, geo-restricted content — if it's on the web, you know how to extract it
• Consumes Data for Breakfast: You think in JSON, dream in XPath, and get excited about a well-structured dataset
• Relentlessly Organized: Your support board is pristine. Every ticket triaged, every follow-up tracked, every edge case documented. Nothing slips through — ever
• Curious Builder: When you notice the same issue three times, you don't just fix it — you automate the solution so it never comes back

 What You'll Be Doing
 

• Own the support board end-to-end with the support team — triage, prioritize, resolve, and follow up on every ticket
• Debug complex web scraping issues across proxy configurations, browser automation, and API integrations
• Help customers build, optimize, and fix their scraping pipelines
• Reproduce issues, identify root causes, and escalate bugs with full context to engineering
• Write documentation and guides that reduce repeat tickets

 Bonus Points
 

• Experience with Puppeteer, Playwright, Selenium or similar browser automation
• Hands-on with proxy networks and IP rotation strategies
• Familiarity with anti-bot systems (Cloudflare, Akamai, PerimeterX, DataDome)
• Working knowledge of Python, Node.js, or scripting languages for data extraction

 Ready to Scrape the Future With Us?
Skip the generic resume. Show us something real — a scraper you built, a gnarly problem you debugged, a support process you transformed. We care about what you can do, not where you went to school.
If you read this and thought "finally, someone gets it" — trust that feeling. Apply now.

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Middle DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• 1+ years of experience with LLM and NLP-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Hands-on experience with RAG and vector DBs
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 5+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• Strong understanding and experience in the development of high-load production systems
• 2+ years of experience with LLM and NLP-related tasks
• Hands-on experience with RAG and vector DBs
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Kubernetes
• Strong experience in development with AI tools (Claude Code, Cursor)
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Familiarity with MCP (Model Context Protocol)
• Experience with production LLM frameworks (vLLM)
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

As a Marketing Manager at EducateMe, you will be at the forefront of driving growth and demand generation for our B2B SaaS corporate training platform. This role spans content strategy, paid acquisition, organic growth, and analytics — with direct impact on pipeline and revenue.

You will work closely with the founding team and collaborate with an in-house content team to execute and scale our marketing efforts.

If you’re an ambitious generalist who uses AI as a force multiplier and has a strong track record in B2B SaaS, we’d love to hear from you.
 

Key responsibilities:

AEO & content strategy - core focus

• Develop and prioritize an Answer Engine Optimization strategy — structuring content to be surfaced by AI tools, not just search engines
• Collaborate with the content team on direction, briefs, and quality review
• Make Webflow page edits independently — structure, CTAs, landing pages, metadata
• Stay ahead of how AI-driven discovery is changing inbound and adapt strategy accordingly

Growth channels

• Identify, test, and scale acquisition channels — LinkedIn, community, content syndication, partnerships, link building
• Run structured experiments, measure results, and double down on what works
• Drive organic brand presence in L&D communities

PPC

• Manage paid campaigns across relevant platforms — Google Ads, LinkedIn Ads, and others as the channel mix evolves
• Own campaign structure, bidding, budget allocation, and ongoing optimization
• Ensure alignment between ad creative, landing pages, and conversion goals

• Continuously improve cost efficiency across the funnel

   

Analytics, measurement & business planning

• Own the numbers that matter — CAC, LTV, LTV:CAC ratio, payback period, channel-level ROI
• Build reporting that connects every marketing activity to the pipeline and revenue
• Use Mixpanel and PostHog to track funnel performance and identify where to optimize
• Translate data into actionable plans that drive business advancement, not just marketing KPIs

• Come to the table with forecasts, not just results

   

Sales enablement

• Produce case studies, competitive battle cards, and one-pagers to support the sales process
• Maintain a strong understanding of ICP, objections, and competitive positioning

• Work closely with SDRs to help with running more outbound experiments

   

Skills required

AI fluency — this is the most important thing we look for

• You use AI tools daily and have built workflows around them — research, content briefing, competitive analysis, reporting, experimentation
• You can do the work of a larger team by knowing how to delegate to AI effectively
• You’re not afraid to automate and systematize — you think in leverage, not in hours

• You stay current with AI tooling and continuously find new ways to apply it to marketing

   

Marketing fundamentals

• 3–5 years of experience in B2B SaaS marketing with a track record of driving growth
• Hands-on experience with PPC platforms — Google Ads, LinkedIn Ads, or similar
• Strong analytical skills — you think in CAC, LTV, and payback period, not just clicks and impressions
• Comfortable with tools like Mixpanel, PostHog, or GA4
• Result-driven and self-motivated with a strong sense of ownership
• Comfortable working in a fast-paced, lean team environment
• English C1+

• Nice to have: experience in EdTech, L&D, or HR Tech

   

What we offer

• Direct collaboration with the founding team
• Remote and async-first work culture
• Competitive salary
• A clear path to Head of Marketing as the company scales

• Paid sick leave and vacation

   

How does the interview process look?

• Interview
• Short assignment
• Decision

 We’re  looking for a Senior Product Manager to lead our ad network integrations and channel expansion strategy.

This role is ideal for someone with strong hands-on media buying experience who understands how campaigns work end-to-end — from setup to optimization and attribution — and can translate that into scalable product solutions.

What you’ll do:
• Own product strategy and roadmap for ad platform integrations
• Build and optimize connections with Facebook, LinkedIn, TikTok, X, and more
• Drive automation, real-time data sync, and performance reporting
• Lead a cross-functional team (engineering, data, QA)
• Turn business & media buying needs into powerful product features

What we’re looking for:
• 5+ years in Product Management (AdTech / MarTech)
• Hands-on media buying experience (must-have)
• Strong understanding of paid social, attribution, and campaign performance
• Experience with APIs, integrations, and data-driven products
• AI-first mindset and experience using AI tools in workflows

Nice to have: 
Programmatic advertising (DSP, SSP, ad exchanges)
Pharma / healthcare marketing experience
Healthcare professional targeting, NPI data
Automation technologies
AI agents and AI-driven workflows

Join us to build a platform that connects media buying, data, and performance into one ecosystem.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Senior Data Analyst to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Requirements:

- Excellent knowledge of Figma,

- High creativity level, ability to find great marketing angles,

- Passion & ability to take urgent tasks out of shift time,

- Decent English level (minimum B1)

Advantages:

- Competitive salary corresponding to your level of knowledge, skills, and experience),

- Work with interesting projects in blockchain technology),

- Strong and supportive team),

- Vacation & Paid time off),

- Learning, courses, and conferences paid by the company).