Jobs

About the Role 

Revenue Grid is looking for a strategic, analytical Product Marketing Manager to help shape our market narrative, lead go-to-market initiatives, and ensure customers clearly understand and realize the value of our platform. 

This is a high-impact role for someone who combines strong B2B SaaS product marketing expertise with a deep understanding of customers, use cases, market dynamics, and competitive positioning. 

You’ll work at the intersection of Product, Sales, Customer Success, and Marketing, translating complex product capabilities into clear, compelling value propositions for buyers, customers, and internal teams. 

A key part of the role is developing a deep understanding of the market, customer pain points, and real-world use cases and connecting those insights to how Revenue Grid is positioned, launched, sold, and adopted. 

You’ll work most closely with Product Marketing leadership and collaborate with the broader Marketing team, with significant ownership across product launches, sales enablement, customer marketing, competitive intelligence, and buyer research. 

What You’ll Do 

• Lead Go-to-Market Strategy: Develop and execute GTM strategies for product launches, feature releases, and strategic initiatives. 
• Own Positioning & Messaging: Create differentiated positioning and messaging that clearly communicates customer value and translates complex technology into compelling stories for buyers, customers, and sales teams. 
• Ensure Messaging Consistency: Maintain consistent messaging across campaigns, website content, sales materials, customer communications, and product launches. 
• Drive Cross-Functional Launches: Partner with Product, Sales, Customer Success, and Marketing to coordinate launches, keep initiatives organized, and ensure alignment with business goals. 
• Enable Sales Teams: Create sales enablement assets including presentations, battlecards, customer stories, competitive materials, and other resources that help Sales communicate product value effectively. 
• Support Sales Training: Lead or support internal training on product messaging, product capabilities, customer use cases, and competitive positioning. 
• Drive Customer Marketing: Partner with Customer Success and Marketing to develop customer marketing programs that support adoption, retention, expansion, and advocacy. 
• Own Competitive Intelligence: Conduct ongoing competitive analysis and translate findings into actionable insights for Product, Sales, and Marketing. 
• Research Buyers & Markets: Conduct ICP research, buyer and market persona research, customer interviews, and broader market research to deepen our understanding of customer needs, pain points, and buying behavior. 
• Be the Voice of the Market: Identify market trends and translate customer and market insights into actionable recommendations for Product and Marketing. 
• Develop Thought Leadership: Create thought leadership content including blogs, solution briefs, executive presentations, and other market-facing materials. 
• Connect Product Value to Customer Use Cases: Build a deep understanding of the industry, product, customer pain points, and use cases, and adapt product value propositions to different customer scenarios. 

What We’re Looking For 

• 5+ Years in Product Marketing: Strong Product Marketing experience within B2B SaaS environments. 
• Strong B2B SaaS Background: Proven experience marketing SaaS products to business customers. Candidates with primarily B2C or non-SaaS experience are not the target profile. 
• Positioning & Messaging Expertise: Proven success in developing differentiated positioning, messaging, and value propositions for complex products. 
• Go-to-Market Experience: Hands-on experience building and executing GTM strategies for product launches, feature releases, and strategic initiatives. 
• Strong Market & Customer Insight: Experience using customer research, market intelligence, competitive analysis, and buyer insights to influence product and marketing strategy. 
• Sales Enablement Experience: Experience creating sales enablement materials and supporting sales teams with messaging, competitive positioning, and customer-facing content. 
• Customer Marketing Experience: Experience developing customer marketing programs focused on adoption, retention, expansion, and advocacy. 
• Cross-Functional Collaboration: Strong experience partnering with Product, Sales, Customer Success, and Marketing teams. 
• Excellent Communication: Exceptional written and verbal communication skills, with the ability to simplify complex concepts and turn product capabilities into clear customer value. 
• Strong Project Management: Excellent organizational and project management skills, with the ability to manage multiple initiatives and stakeholders simultaneously. 
• Proactive & Independent: A self-starter who is resourceful, proactive, comfortable with ambiguity, and able to operate effectively in a fast-paced environment. 
• Global Team Collaboration: Comfortable working with an international, distributed team and able to maintain at least 4 hours of overlap with Pacific Time, from 9 AM to 1 PM PT (approximately 5-9 PM in the UK, 6-10 PM in Central Europe, and 7-11 PM in Eastern Europe, depending on daylight saving time). 

Bonus Points 

• Experience in AI, SalesTech, CRM, RevOps, or Revenue Intelligence. 
• Familiarity with marketing or working with the Financial Services industry. 
• Experience working with complex enterprise B2B SaaS products and translating sophisticated functionality into clear business value. 

What We Offer 

• Remote-first work across Europe 
• Company-provided work equipment 
• Compensation for work-related tools and subscriptions, including AI tools 
• Health insurance reimbursement for Ukrainians living abroad 
• 50% reimbursement for job-related courses and professional development 
• Work in an international, distributed team 
• A high level of autonomy and ownership 

Interested? 

If you enjoy turning complex B2B SaaS products into clear market stories, building strong go-to-market strategies, and deeply understanding customer pain points and use cases, we’d be happy to hear from you. 

Apply and let’s talk about how your experience could support Revenue Grid’s next stage of growth. 

FutureMedia is a remote-first team building and scaling high-impact digital products across SaaS, AI-powered solutions, and consumer web and mobile applications.

We operate a portfolio of high-traffic B2C subscription products in the US market, where each Business Unit functions as an independent P&L with dedicated product, growth, and engineering teams.

We move fast, think analytically, and focus on building scalable growth systems that drive measurable business impact.

About the Role

We’re looking for a Head of PPC to own and scale our paid acquisition strategy across multiple digital channels and products.

This role combines strategic leadership with hands-on performance marketing expertise. You’ll be responsible for managing multi-million-dollar acquisition budgets, identifying new growth opportunities, optimizing funnel performance, and driving sustainable customer acquisition at scale.

You’ll work closely with product, design, analytics, and leadership teams to accelerate growth across our subscription-based products in the US market.

What You’ll Do

• Own and execute the user acquisition strategy across Paid Search and emerging channels
• Manage and optimize multi-million-dollar marketing budgets focused on scalable and profitable growth
• Launch, analyze, and continuously improve campaigns across platforms including Google Ads Bing, Taboola, Quora, and others
• Identify and test new acquisition channels, audiences, and growth opportunities
• Monitor and optimize key performance metrics including CAC, CPL, CPA, ROAS, ROMI, LTV, and ROI
• Build forecasting models, budget recommendations, and scalable reporting frameworks
• Drive experimentation across creatives, landing pages, targeting, and funnel optimization initiatives
• Collaborate closely with product, design, and copywriting teams to improve conversion performance
• Use analytics and insights to develop clear recommendations, strategic direction, and optimization roadmaps
• Partner with leadership on broader growth and go-to-market initiatives
   

We’re Excited About You Because

• You have 5+ years of experience in performance marketing, paid acquisition, or growth marketing roles
• You’ve managed large-scale paid acquisition budgets and performance-driven campaigns (min 1mil $ budgets)
• You have strong experience with the US market and subscription-based or B2C products
• You’re highly analytical and comfortable working with large data sets, attribution models, and funnel analytics
• You have hands-on expertise across major paid channels and performance marketing platforms
• You understand how to scale acquisition while maintaining efficiency and profitability
• You’re experienced in A/B testing, experimentation, and conversion optimization
• You’re proficient in Excel / Google Sheets / SQL and data-driven decision-making
• You thrive in fast-paced environments and enjoy building systems from the ground up
• You communicate clearly and work effectively across cross-functional teams
• You have fluent English
   

Nice to Have

• Experience in subscription-based or high-growth B2C product companies
• Experience with advanced analytics, research, or marketing data infrastructure
• Passion for digital media, social platforms, and emerging acquisition channels
• Entrepreneurial mindset with strong ownership and execution skills

Who are we?

Fuelfinance is on a mission to revolutionize financial management for early-stage startups, empowering them to take control of their finances and thrive. We recently raised $1M in Seed Funding from top-tier investors like Markus Villig (Bolt), John S. Kim (SendBird), Stratmind, and Bad Ideas funds, following 3 years of profitable, bootstrapped success. Trusted by businesses with over $200M in P&L, including Reface, Petcube, and Hampton, we’ve built a universal tool that brings clarity and insight to finance management.

With 38% of startups failing due to cash flow issues, our goal is to prevent these failures and unlock trillions in GDP growth. At Fuelfinance, we’re not just creating software — we’re safeguarding the future of thousands of startups. Join us and be part of this impact!

fuelfinance.me

www.instagram.com/fuelfinance

youtu.be/eI5VH2Ks9o4

Who are we searching for?

We're looking for a Finance Engineer — someone who turns manual finance and accounting processes into scalable, automated, AI-supported workflows. This role sits at the intersection of Finance, Accounting, Systems, Automation, and AI.

You'll design and build customized finance systems for multiple startup and scale-up clients — leading each implementation from discovery through go-live, then supporting it long-term. You'll typically run 2–3 implementation projects at once while supporting 7–10 active customers, so comfort juggling parallel work without dropping quality is essential.

Whether you're a finance professional who learned to build with AI, or an engineer who developed deep finance knowledge — if you're driven to eliminate repetitive manual work at scale, we want you on our team.

What are your responsibilities?

• Lead client implementations end-to-end: run discovery sessions, gather requirements, present solutions, take systems to go-live, and support customers afterward
• Design and build finance systems following Fuel standards — reusable and maintainable, not one-off fixes
• Build and improve workflows for reporting, forecasting, month-end review, reconciliations, and financial controls
• Automate repetitive finance work using AI tools, low-code platforms (Make, n8n, Zapier, Workato), integrations, and internal workflows
• Connect and structure data from accounting systems, CRMs, payment tools, spreadsheets, BI tools, and data warehouses
• Build checks, controls, and validation logic to improve accuracy and reduce manual errors
• Balance multiple active implementations and ongoing support simultaneously while meeting deadlines and maintaining quality
• Partner with Engineering on APIs, integrations, data pipelines, and workflow orchestration

What are the preferred requirements for the role?

• 5+ years implementing finance systems, automations, or finance process improvements — with clear ownership of what you built and its business impact
• Hands-on experience building production-ready AI workflows, agents, prompts, or automations that solved real business problems (Claude / Claude Code, Cursor, Copilot, custom LLM builds, or similar) 
• Confident with automation platforms: Make, n8n, Zapier, Workato, or similar
• Practical experience with APIs and integrations — you can explain authentication, webhooks, API limitations, and integration architecture, and have built or configured integrations yourself
• Strong understanding of finance and accounting: month-end close, reconciliations, AP/AR, procure-to-pay, revenue, budgeting, reporting, and financial controls
• Understands how financial data moves between operational systems 
• Familiar with enterprise systems as an integrated set: ERPs, CRMs, BI platforms, payment systems, and data warehouses
• Solid AI/LLM fundamentals: prompt engineering, context management, memory, and agent orchestration
• Experience working directly with customers — running discovery, presenting solutions, supporting after go-live
• Track record managing multiple projects at once without losing visibility or missing deadlines
• Fluent English (C1+) and excellent client-facing communication — you'll work directly with founders and finance teams
• Systems thinking, ownership, learning agility, and comfort solving ambiguous problems without complete specs

Will be a plus:

• Knowledge of Python, SQL
• Data warehouses: BigQuery, Snowflake, PostgreSQL, etc.
• Enterprise architecture awareness: security, scalability, governance, integration patterns
• Experience administering financial, accounting, billing, or ERP systems
• Experience with tools like NetSuite, QuickBooks, Xero, Stripe, Salesforce, HubSpot, Zuora, Looker, Power BI, Tableau
• Experience with US-based clients or startups

Reporting Structure: Reporting to the FP&A Team Lead.

Recruitment Process:

• Soft skills interview with the recruiter
• Test task
• Hard skills interview with the Head of FP&A
• Culture fit interview with the Head of FP&A/VP of Operations

Why work with us?

• Help scale Fuel's platform across dozens of growing companies — making enterprise-grade finance accessible to startups
• Rapid skills growth: gain exposure to many business models and industries while progressing toward Senior or Enterprise Finance Engineer
• Growth opportunities according to our seniority grading (comes with a compensation increase)
• Flexible schedule and time-off policy
• 18 days of paid vacation per year, paid sick leaves

We are looking for an Engineering Manager or experienced Team Lead with a strong Data Engineering background to lead and scale the teams building our high-reliability, secure, and linearly scalable Data direction.

This role is ideal for engineering leaders who combine strong technical expertise in data and platform engineering with people leadership and delivery ownership. Whether you are already an Engineering Manager or a hands-on Team Lead looking to expand your impact, you will play a key role in shaping teams, data architecture, and engineering culture.

You will lead the company's transition toward an AI-first approach - ensuring fast, governed access to analytics and AI/ML models while maintaining strict financial and regulatory compliance. You will work at the intersection of data engineering, platform/infrastructure, and business, with a strong focus on reliability, performance, scalability, security, and data governance.

Responsibilities

• Lead and develop cross-functional Data Engineering and Data Platform teams
• Own delivery, quality, and technical outcomes for the data platform
• Partner closely with Product, Analytics, Data Science/ML, and Senior Engineering leadership to translate business and AI requirements into a scalable platform roadmap
• Drive and evolve data engineering processes, including planning, estimation, CI/CD for data, testing and data quality, code reviews, and release management
• Contribute to architectural decisions for data systems running on hybrid infrastructure (batch + streaming, lakehouse, and beyond)
• Ensure high availability, performance, data reliability, and observability of production pipelines and platform services
• Embed security, privacy, data lineage, and regulatory compliance into the platform by design
• Identify and reduce technical and data debt while maintaining delivery velocity
• Mentor engineers, support career growth, conduct 1:1s and performance conversations
• Participate in hiring and team scaling initiatives
• Foster a culture of ownership, collaboration, data quality, customer focus, and continuous improvement

Requirements

• 5+ years of hands-on professional Data Engineering experience, with a strong track record of building and operating production-grade data pipelines and platforms
• Experience leading engineering teams as an Engineering Manager, Team Lead, or similar leadership role
• Strong understanding of modern data architectures, including data modeling, ETL/ELT, distributed data processing, pipeline orchestration, batch and streaming workloads, and data storage
• Experience delivering complex data systems or platforms in production environments
• Background in financial systems, FinTech, or other high-reliability, regulated domains
• Strong understanding of data platform and backend systems - data modeling, distributed data processing, and pipeline orchestration
• Hands-on experience with the modern data stack: batch and streaming processing, orchestration, and warehousing/lakehouse 
• Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies for data workloads
• Familiarity with data observability (data quality, metrics, logging, alerting, lineage) and performance monitoring

Nice to Have

• Experience building platforms that serve AI/ML workloads (feature stores, MLOps, model-serving, vector/embedding stores)
• Experience with low-latency or high-throughput data systems
• Exposure to trading, fintech, or market-data platforms
• Experience with data governance, security, and regulatory compliance (PII handling, audit, lineage) in financial environments
• Experience scaling data and engineering teams and organizations

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Engineer to join our growing Data & Analytics practice and build modern data solutions for our customers on AWS.

This is a highly hands-on engineering role. You’ll work across different customer environments and data challenges, from modernizing legacy pipelines and building lakehouse platforms to optimizing analytical workloads and owning smaller data platforms end-to-end.

You won’t be limited to one stack or one long-running product. One project may involve Spark and Apache Iceberg, another Redshift performance and data modeling, and another Kafka, OpenSearch, or a new data platform built from ingestion through analytics.

We’re looking for someone who can take ownership of a data engineering problem, make sound technical decisions, and deliver independently without needing constant direction.

📍 Work location: Ukraine, remote

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Design, build, and optimize production data pipelines and data platforms on AWS.
• Build scalable data processing workloads using Spark/PySpark, Python, and SQL.
• Build and modernize data lakes and lakehouse architectures, working with technologies such as Amazon S3, Apache Iceberg, AWS Glue, and related data services.
• Design, troubleshoot, and optimize analytical workloads and data warehouses, including Amazon Redshift and other OLAP platforms.
• Modernize legacy and inefficient data workloads, including moving existing ETL/ELT processing to scalable distributed data architectures.
• Work with streaming and event-driven data pipelines using technologies such as Kafka, Kinesis Data Firehose, and related services.
• Investigate real production data problems, from performance bottlenecks and data modeling issues to upstream/downstream dependencies, and recommend practical solutions.
• Take ownership of customer projects end-to-end, from understanding the technical problem through implementation, testing, and delivery.
• Work directly with customers when needed to clarify requirements, explain technical decisions, and recommend solutions based on your expertise.
• Build data foundations for analytics and ML workloads, collaborating with Data Scientists, DevOps, and MLOps engineers.
• Contribute to dashboards and analytics when required using QuickSight or other BI tools.

• Apply practical engineering practices around data quality, testing, CI/CD, security, governance, and infrastructure automation.

   

Requirements

• Strong production experience in Data Engineering, with the ability to independently own and deliver data projects.
• Deep hands-on experience with Apache Spark / PySpark and distributed data processing.
• Strong Python and SQL skills.
• Hands-on experience building data solutions on AWS.
• Strong understanding of data lakes, lakehouse architectures, ETL/ELT, data modeling, and data processing at scale.
• Experience with analytical databases and data warehouses. Strong Amazon Redshift experience is highly valuable; deep experience with platforms such as Snowflake, Synapse, or similar OLAP technologies is also relevant.
• Understanding of streaming architectures and technologies such as Kafka or Amazon Kinesis.
• Ability to troubleshoot existing data systems, understand how data flows across upstream and downstream components, and improve performance and reliability.
• Ability to work autonomously, make pragmatic technical decisions, and take responsibility for delivery.

• Good communication skills and the ability to discuss technical problems and solutions directly with customers in English.

   

Nice to have

• Experience with Apache Iceberg or other modern open table formats and lakehouse technologies.
• Amazon OpenSearch Service / Elasticsearch experience.
• Experience with BI and visualization tools such as Amazon QuickSight, Tableau, or Power BI.
• Terraform and Infrastructure as Code.
• CI/CD practices for data pipelines, including data testing and validation.
• Experience preparing data platforms for ML workloads using services such as Amazon SageMaker.
• Exposure to Amazon Bedrock, GenAI, or agentic development.

• Experience with Databricks, Snowflake, ClickHouse, or other modern data platforms

   

What Success Looks Like in Year One

• Independently owns assigned data projects end-to-end, from understanding the problem and making technical decisions to implementation, troubleshooting, testing and successful delivery, with minimal supervision.
• Has built strong practical expertise across the team’s core data stack and can confidently work across different customer environments, including Spark, Python/SQL, data lakes/lakehouses, analytical and NoSQL databases, streaming and other technologies used by the team.
• Can investigate unfamiliar data problems independently, identify performance or data-modeling issues, understand upstream/downstream dependencies, and recommend pragmatic solutions to customers.

• Continuously expands technical depth, keeps up with modern Data technologies and patterns, and can quickly learn new technologies as customer projects and the Data practice evolve.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program — enjoy cooperation with your colleagues and get a bonus
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our

We are looking for a skilled and motivated Platform Developer to join our Engineering team, focusing on database architecture, data transformation, workflow automation, and AI integration. You will be instrumental in building and maintaining the data infrastructure and automated systems that power our internal and client-facing products. This role requires deep backend expertise combined with a strong automation and AI mindset, and the ability to own systems end-to-end in a fast-moving, small team environment.
 

Requirements

To be successful in this role, you should meet the following minimum experience standards:

• Node.js Backend: 5+ years of professional experience building scalable backend services, with strong command of asynchronous programming, data pipelines, and complex business logic.
• Database Architecture: Strong working knowledge of relational databases (PostgreSQL or MySQL), including schema design, indexing, query optimization, and data modeling for high-volume transformations.
• Data Transformation: Experience designing and maintaining ETL or data transformation pipelines — cleaning, normalizing, and routing data across systems.
• Automation Expertise: 1+ years of hands-on experience with workflow automation platforms such as n8n (preferred), Make.com, or Zapier, including writing custom code nodes and managing multi-step workflows.
• AI Integration: Experience integrating LLMs (e.g., OpenAI API, Gemini, Claude) into backend workflows, including prompt engineering, structured output handling, and building AI-augmented pipelines.
• API Integration: Solid command of integrating third-party REST/GraphQL APIs, handling authentication (OAuth2, API Keys), and managing rate limits and error recovery.
• Cloud Infrastructure: Hands-on experience deploying and maintaining backend services on DigitalOcean and/or Google Cloud Platform, including working with managed databases and containerized environments (Docker).
• Version Control: Proficiency with Git and familiarity with CI/CD workflows.
• Claude Code/Codex: Advanced experience.
   

Plus Skills

Experience in any of the following areas is a significant advantage:

• Python: Willingness and ability to write Python scripts where needed for data processing, ML tooling, or integrations that lack Node.js support.
• Advanced AI Workflows: Familiarity with LangChain, vector databases (RAG), or multi-agent orchestration patterns.
• Frontend Exposure: Working knowledge of React or Next.js to build lightweight internal dashboards or tooling interfaces.
• Technical SEO: Understanding of SEO data metrics (Volume, KD, CPC) and content performance signals — useful for engineering logic behind data-driven content systems.
   

Key Responsibilities

• Database Architecture: Design, maintain, and optimize PostgreSQL schemas to support data transformation workflows, session management, and reporting needs.
• Data Transformation: Build reliable pipelines that ingest, clean, transform, and route data between internal systems and third-party APIs.
• Automation Development: Build and maintain automation workflows in n8n and Node.js — including custom logic nodes, error handling, and retry strategies.
• AI Integration: Implement LLM-powered features into backend pipelines, including prompt design, structured JSON output parsing, and model orchestration.
• API Ecosystem Management: Integrate and maintain connections with tools such as Slack, Google Drive, Google Analytics, and other data sources and destinations.
• System Reliability: Monitor, debug, and improve the reliability of automated systems — handling edge cases like API timeouts, context window limits, and malformed data.
• Cloud Operations: Deploy and manage backend services on DigitalOcean and Google Cloud, including scaling, environment configuration, and uptime.
• Documentation: Maintain clear technical documentation for data models, automation architectures, and API integrations to support team knowledge sharing.
   

Perks & Benefits

• Competitive salary and benefits package.
• Hybrid work environment with the opportunity to be fully remote
• Cutting-Edge Tech: Work on real AI-augmented systems that directly impact client outcomes.
• Small, Agile Team: Direct access to leadership and a culture that values ownership and creative problem-solving over rigid ticket queues.
• Career Growth: Financial support for continuous learning and professional development.
   

Required Skills & Experience

• Node.js: 5+ years
• PostgreSQL / MySQL: 3+ years
• React: 2+ years
• n8n or equivalent automation platform: 1+ years
• LLM API integration (OpenAI, Gemini, or similar): demonstrated experience

Pine Software Technology Ltd is a software company specializing in trading technology solutions for regulated brokers and trading firms. We build SaaS products that support electronic trading, brokerage operations, risk management, and financial data analysis. We are looking for a Senior Data Engineer with a strong background in Software Engineering to join our team and lead the unification of our data platform.

Responsibilities:

— Design, build, and maintain scalable batch and streaming data pipelines using PySpark, SQL, and Databricks.
— Implement and manage Change Data Capture (CDC) pipelines to seamlessly ingest data from source systems into the data platform.
— Design and evolve data models using the Medallion Architecture (Bronze, Silver, Gold layers) within the Databricks Lakehouse.
— Provision, configure, and manage cloud infrastructure as code using Terraform.
— Optimize complex SQL queries and Spark jobs to guarantee high performance, reliability, and data quality at scale.
— Take full ownership of pipeline development end-to-end, communicating directly with stakeholders to refine requirements.
— Collaborate closely with Data Analysts, Data Scientists, and product teams as we expand into analytics, dashboards, ML/AI, and real-time processing.
 

Requirements:

— 6+ years of overall software/data engineering experience, with a solid foundation as a Software Engineer who transitioned into data.
— Strong proficiency in Python and SQL.
— Proven track record of designing, building, and scaling ETL/ELT pipelines using PySpark and Databricks.
— Hands-on experience implementing and managing Change Data Capture (CDC) and streaming pipelines.
— Practical knowledge of Databricks Lakehouse, Medallion Architecture, and dimensional data modeling (Star Schema, Kimball).
— Practical experience provisioning and managing infrastructure using Terraform.
— High level of autonomy and accountability — ability to own tasks from ideation through to completion.
— Strong product mindset with a clear understanding of business value.
— English: Upper-Intermediate or higher.
— Ukrainian: Native.
 

Nice to have:

— Financial domain knowledge (capital markets, brokerage, or trading operations).
— Hands-on experience with Apache Beam or Apache Flink.
 

Company offers:

Care from Day One — medical insurance starting from your first day, including dental care, massage services, and professional psychological support.
Work-Life Balance — 25 days of paid vacation + 30 days of paid sick leave
Investment in Your Energy — Partial reimbursement for sports and fitness activities.
Growth & Learning — Coverage for English or Ukrainian language courses and dedicated professional development budget
Knowledge Library — Access to office books and the Kuka online library.
Island Relaxation — Up to 14 days per year at the company villa in Cyprus.
 

Join the Pine Software team, where your talents and aspirations will be recognized. We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path.
Start your journey with us — apply today and take the first step toward your bright future!
Pine Software is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.
Please note that only shortlisted candidates will be contacted.

Who We Are

PAR Retail, with its Open Commerce® product suite and patent pending Wallet Steering® System, empowers Convenience & Fuel Retailers to gain more share of wallet and customer lifetime value than possible with any other solution provider. PAR Retail’s unified Open Commerce product suite consists of: Activate for Intelligent 1:1 Loyalty, Transact for Contactless Commerce, and Experience for Cross-Channel Customer Experiences. PAR Retail’s solutions are supported by a set of subscription-based program management services and are contractually backed by its 1.5X Performance Guarantee.

What are you going to do? 

We're looking for a product designer to help create and shape our products: fuel and loyalty platforms built for the US market. You'll lead projects end to end, working closely with engineering and stakeholders, and you'll help stand up design practice in our team. We expect a broad range of design skills, exceptional taste, and fluency with the latest AI design workflows. 

What you'll own 

• Design end to end across our vendor-facing and internal surfaces: research, flows, UI, and the details that make it usable at volume. 
• Work directly with product and engineering from the start of a problem, not just at handoff, shaping what gets built and not only how it looks. 
• Use AI-assisted design and prototyping tools as part of your default workflow, moving from idea to tested design fast, and help bring those workflows into our existing legacy designs. 
• Establish research and customer insight practice, so evidence is embedded from problem framing through delivery. 
• Drive competitor and market analysis, including the best current design patterns and industry examples, and use it to shape design direction and inform strategic priorities across teams. 
• Ground decisions in analytics and real usage data rather than preference alone. 
• Build and maintain a design system that holds up as the product and the team grow. 
• Give engineering enough clarity to build confidently, without needing pixel-perfect specs for everything. 

Requirements 

• 5+ years designing digital products for mobile and web. 
• A portfolio that demonstrates both design sensibility and real product depth. 
• Demonstrated research ability: you can plan it, run it, and turn it into direction. 
• Fluency with AI tools, with the ability to work directly in code rather than relying solely on prompts. 
• Strong Figma fundamentals: components, auto layout, variables, and systems that hold up under other people's hands. 
• Excellent communication, with a track record of working effectively with US-based stakeholders. 

Nice to have 

• Experience in retail, fueling, or loyalty domain products. 
• Experience improving user flows in complex domains with a large user base and high event volume. 
• Motion and brand design skills you can apply to product and marketing surfaces. 

PAR Retail Offers:

- Long-term employment;

- Competitive compensation with regular performance-based salary and career development reviews;

- Paid vacations and sick leaves;

- Health insurance program;

- Flexible working hours;

- Sponsored company educational program, corporate library;

- A unique and friendly environment where everyone can explore and learn new technologies.

S-PRO is looking for a Senior Fullstack Developer to join our team and work on a product with a strong focus on modern web development and AI-powered functionality.

What you’ll do

• Develop features across the full stack using Vue 3 + TypeScript and Python + Django.
• Build and maintain REST APIs with Django REST Framework.
• Work with business logic, data models, and background processing pipelines.
• Design and optimize database schemas and queries.
• Integrate the product with external services and third-party APIs.
• Develop and improve AI-powered product functionality, including LLM-based features, AI agents, retrieval, and evaluation.
• Work with AI coding tools such as Cursor, Claude Code, Codex, or similar solutions in your daily development workflow.
• Write and maintain automated tests using pytest, Vitest, and Playwright.
• Take ownership of features end-to-end, from implementation to delivery.
• Collaborate closely with other engineers, product managers, and stakeholders.

What we’re looking for

• 5+ years of professional experience in software development.
• Strong hands-on experience with Python and Django.
• 3+ years of commercial experience with Vue.js and TypeScript.
• Strong knowledge of REST APIs and backend architecture.
• Solid experience with PostgreSQL and database design, query optimization, and migrations.
• Experience with background processing and distributed systems.
• Hands-on experience building AI-powered features or products using LLMs, agents, retrieval/RAG, evaluation, or related technologies.
• Daily experience working with AI coding agents such as Cursor, Claude Code, Codex, or similar tools.
• Experience working with complex systems, third-party integrations, and real-world data.
• Good understanding of UI/UX and ability to build user-friendly interfaces.
• Strong communication skills and ability to work independently.
• English — Upper-Intermediate (B2) or higher.

Nice to have

• Experience in fintech or other regulated industries.
• Experience with OpenSearch.
• Experience with Playwright.
• Experience with cloud infrastructure and AWS.

Our tech stack

Frontend: Vue 3, TypeScript, Vite, Pinia, Vuetify, Tailwind CSS, Shadcn, Vitest, Playwright

Backend: Python, Django, Django REST Framework, Celery, PostgreSQL, Redis, OpenSearch, pytest

AI: LLMs, AI agents, retrieval/RAG, evaluation, AI coding agents

What we offer:

• Long team focus: we create an environment of transparent communication, and minimal bureaucracy, which leads to long-term relationships.
• Development of niche expertise: we are working in several niches, such as FinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise in these domains.
• Continuous learning: we create employee development plans / personal roadmaps /quick promotion processes.
• Internal career development: 80% of our current executives were promoted to those positions within S-PRO. We encourage initiative. If a person wants to set new challenges and grow, we will definitely support them.

Benefits and perks:

• Flexible schedule.
• Remote work model.
• Medical insurance
• Paid vacations
• Paid Sick-leaves.
• Paid State holidays.

Short overview of the project (What technology stack is used on the project, and length of the project)

AI tourism platform looking for a Team Lead Product Engineer who uses AI to ship fast.

📚 Our stack:

Backend: Go monorepo (no framework, 3+ services)

Hosting: PaaS-managed containers, local setup fully mirrors production via Docker Compose

Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Asynq queue

Databases: PostgreSQL, Redis

AI tooling: Claude Code (mandatory)

🚢 Products you will lead a pod on:

An AI search & recommendation engine for major travel enterprises: heavy client integration work (SSO, security reviews, GDS integrations) with demanding enterprise customers

A content enrichment API: high-scale, data- and AI-focused backend work

Partner and supplier integrations, data ingestion pipelines, LLM providers

Employment and number of hours per week/month (part-time, full-time, freelance)

Engagement: full-time, 40 hours/week

Candidate’s location and required Time Zone for work

Location: remote, within ±3 hours of CET

Timezone is the main priority, so your usual scope of EU and Ukraine within the required overlap works well. 

Language of communication

Language: English required

Functional responsibilities (What will an employee do on the project?)

⚠️ European or African timezones (±3 hours from CET) Available full-time (40 hours/week)

⚠️IMPORTANT: This is not a traditional coding role. You'll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user. Also: we have no QA team, you OWN the quality of what you ship!

A Team Lead is the spokesperson, coordinator and facilitator for their pod, internally with product, design and leadership, and externally with clients. You come from the management path, not the deep-specialist path: you have seen a lot as a developer and have consciously decided that enabling a team, working with clients and driving product outcomes is what energises you now, not coding all day.

You remain a hands-on engineer. Expect roughly 30-40% of your week on coordination, client and product work, and the rest as an individual contributor. This is not an HR-style people-management role: no performance reviews, no career coaching. As we scale, light one-on-ones and check-ins may become part of it, but the job is coordination and delivery, not administration.

What you'll actually do:

Be the spokesperson for your pod, internally with product, design and leadership, and externally with clients and partners

Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers and facilitate hand-offs (lightweight project management, we deliberately have no project managers)

Gather client requirements first-hand and funnel them straight into the pod so nothing gets lost in translation

Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs

Help pod members with product decisions and prioritisation, enabling engineers who may be technically stronger than you

Contribute hands-on as an engineer: own features end-to-end, use Claude Code to generate Golang backend code, review AI output for quality and architectural fit

Join client meetings to align on requirements, report on delivery and keep the relationship professional and calm

Requirements for a candidate

Min 5 years of experience

2-3+ years of technical leadership experience leading a team, squad, pod or similar unit (a hard must, think team lead or early-stage engineering manager)

A developer's background (5 years minimum): you have seen production reality with your own hands before moving towards leading people

A genuinely product-driven mindset: you think about user value and business outcomes before implementation

Comfort facilitating and coordinating a pod without relying on formal authority

Willingness and ability to take part in client meetings and act as the external face of your pod

Excellent spoken and written English for planning sessions, stakeholder updates and client conversations

Ownership mentality with a strive for elegantly simple, high-quality solutions; you test your own work thoroughly since we have no QA team

Proven experience using Claude Code, share specific examples

Solid Golang experience, you'll review AI's code and you must understand how it works

Ability to do on-call once in a while to help maintain our platform's reliability & uptime

Must-Have Requirements (Team Lead — no flexibility on any)

Go (Golang): Real production experience, not just personal projects. No flexibility on other technologies.

AI/backend engineering: Deep knowledge of building and productionizing complex AI systems — observability, reliability, quality

Product mindset: Ability to think beyond engineering toward product outcomes

Leadership: Capable of leading without needing coaching or internal mentoring

English communication: Very strong, given client-facing responsibilities

Minimum 5 years of experience across the board

Candidates should be responsible for testing their own code — QA ownership expected

The Team Lead will head a small pod (not a traditional manager with direct reports)

Client-facing responsibilities begin from onboarding, with full client-facing ownership expected to grow over time

Also they will have on-call duties (now it’s during working hours and weekends, rotation among team members, but later they want to have 24/7 on call, so one person will be on-call for 24 hours (probably) and it will be compensated extra). 

Nice-to-Have

German language: A significant bonus but not required — the one criteria the client can flex on

Any special requirements for the person 

❤️ You are a great fit if you:

Made the classic developer's fork-in-the-road decision, lifelong engineer or leading people, and chose people, clients and product

Are energised by product planning sessions and have opinions about what the pod should build next, not just how

Are comfortable being the face of your pod, in internal planning rooms and on calls with enterprise clients

Enjoy enabling engineers who are technically stronger than you

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

Applause is a profitable, well-capitalized operator of consumer subscription apps across privacy, security, health, productivity, and accessibility. The model is simple: acquire high-retention, category-leading apps and scale them. 

The apps already have top 1% retention, strong brands, and high organic traffic, so paid growth compounds on proven products instead of propping up weak ones. There is real budget behind growth that works.

Area of influence

• You set up the growth function from scratch and own it end-to-end — the campaign infrastructure, the measurement layer, the reporting, and the playbooks that make paid growth repeatable across many apps. This is a builder-operator role: you're expected to build the systems, not just run the accounts.
• Stand up the measurement and reporting backbone yourself: pipelines from network and MMP APIs, internal dashboards, and budget/creative automations. Comfort in SQL and Python (or equivalent) to build this rather than wait on a data team is a core part of the job.
• Build and own trustworthy attribution across a multi-app portfolio: layered MMP-based setup with S2S/CAPI and event deduplication, probabilistic and network-native models (Meta AEM, TikTok Attribution Flex), with SKAN as one input among several — reconciled against your own backend numbers so the payback math holds up.
• Plan, launch, and optimize paid UA hands-on across Apple Search Ads, Google, Meta, TikTok, and paid web — owning budgets, bids, audiences, and creative testing against payback and CAC targets per app.
• Build and pressure-test your own cohorted LTV and payback models rather than trusting platform-reported ROAS — and use that predicted-LTV number as the gauge for budget and profitability decisions across every app.
• Drive organic acquisition in parallel with paid — ASO, store-listing conversion, and web-to-app / web-to-web flows — so the top of the funnel grows through every lever, not just paid spend.
• Generate the experiment roadmap independently: bring your own ideas for new channels, creative angles, and tests, size them by expected payback, and run them without waiting for a task list.
• Own secondary paywall and funnel optimization, and coordinate lifecycle (email/push) support — partnering with the lifecycle and analytics hires so monetization and retention keep pace with the traffic you drive.
• Report results, learnings, and forecasts to the CEO weekly, and brief app GMs on what's working, what isn't, and what you need from them to scale. Flat structure, direct communication, fast decisions.

Who are we looking for

• Has personally deployed meaningful paid spend at a consumer subscription company (on the order of $10M+/year, or smaller budgets run with real rigor), with direct ownership of the numbers and outcomes.
• Genuinely technical: builds their own reporting, attribution, and automation in SQL/Python — not just an operator of dashboards someone else maintains. Has stood up API pipelines and rules-based ad-management automations before.
• Deep, hands-on fluency with the modern app-growth stack — an MMP (AppsFlyer, Adjust, or Singular), a product-analytics tool (Amplitude/Mixpanel), paywall/funnel tooling, and lifecycle (Customer.io or similar) — or has built the equivalent in-house, with strong, specific opinions on which tools to use and why.
• Modern about measurement: comfortable with probabilistic and network-native attribution, SKAN-aware, and runs real incrementality checks. Builds and pressure-tests LTV and payback models rather than taking platform ROAS at face value.
• Has operated across multiple apps or product lines at once and can context-switch across a broad portfolio (three to seven-plus apps) without letting performance slip.
• Thinks in unit economics and profitability thresholds, works well in a flat, communicative team, and is proactive — brings the roadmap rather than waiting for one.

Team & Background

A genuine player-coach: expected to execute campaigns directly today, with a clear path to hire and lead a small growth team as the portfolio scales.

Knows exactly what to keep in-house versus outsource, and can name the first few hires and vendors they would line up for each function.

Background skews scrappy and operator-heavy rather than corporate: founders, early-stage operators, and people who have built a growth function from zero

N-iX is looking for a Senior Mobile/Web engineer to join our team. 

The Investment and Pension Products (IPP) tribe at Raisin builds Raisin’s capital markets–based products, enabling customers to grow their wealth with confidence. We take complex, highly regulated financial systems and turn them into easy, transparent, and scalable product experiences. This is core to Raisin’s mission, given the central role these product lines play in Raisin becoming the home for our customers’ wealth.

The teams in the IPP tribe аре cross-functional and focused on the further internationalisation of Raisin’s investment products. The team owns the design, development, and operation of its services end-to-end, following a “you build it, you run it” mindset. This includes responsibility for system reliability, scalability, and continuous improvement in close collaboration with Product, Risk, and other stakeholders.

Team’s Stack:

• Backend: Java (Spring Boot), MySQL, Kafka, AWS
• Web: TypeScript, ReactJS
• Mobile: TypeScript, React Native

Responsibilities:

• Delight customers and internal stakeholders by building and maintaining high-quality customer-facing platforms and internal tools.
• Own the design, implementation, testing, deployment, and ongoing refinement of applications and services end-to-end.
• Guide features through the full lifecycle—from discovery and implementation to testing, iteration, and successful launch.
• Write clean, maintainable, secure, and well-tested code with a strong quality mindset (unit, integration, component, and contract testing where applicable).
• Collaborate closely with Product, UX, Risk, and other stakeholders to translate complex domain requirements into practical, efficient, secure, and compliant solutions.
• Actively participate in architecture discussions and contribute to defining technical standards, guidelines, and best practices.
• Continuously improve engineering processes, CI/CD pipelines, automation, and overall operational readiness to enhance developer productivity.
• Work in an agile, cross-functional team with end-to-end ownership and a strong sense of accountability.
• Use AI tools productively and responsibly to accelerate delivery and improve quality.
• Foster an inclusive and collaborative team culture through knowledge sharing, constructive feedback, mentoring, and pairing.

• Contribute to an environment of open communication, trust, and continuous improvement, taking responsibility for personal growth as well as the growth of the team.
  
   

  Profile Description:
  ● University degree in CS/related field or equivalent practical experience.
  ● 5+ years of experience with React and React Native, with a proven track record of shipping production iOS/Android apps and Next.js web applications.
  
  Technical skills:
  ● Proficiency in React, React Native, Next.js, React Hooks, and state management (Redux, Zustand, etc.). 

• Hands-on experience with monorepo tooling (Nx, Turborepo) managing separate Web and Mobile repositories.
  ● Experience with Microfrontend (MFE) architectures on the web.
  ● Strong proficiency in TypeScript, JavaScript, HTML, CSS, and mobile-first responsive web design.
  ● Familiarity with CSS-in-JS (styled-components) and modern UI libraries (Material-UI, Radix UI). ● Experience with Next.js (App/Page Router), SSG, JAMstack, and headless CMS platforms is a plus.
  
  App lifecycle expertise:
  ● Hands-on experience with mobile app signing, store submissions (App Store, Google Play), and web deployments (Vercel, AWS).
  ● Experience with CI/CD automation using GitLab CI, Fastlane, and Expo EAS. 

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We're an early-stage product company building an AI-powered analytics platform for the iGaming industry. Users get answers from their data in plain English — an LLM turns questions into validated SQL over a large data warehouse — alongside a set of analytics dashboards and data pipelines. It's live in production.

You'd be our first dedicated engineer, working directly with a technical founder (product) and an experienced CTO (architecture + code review) — with a real path to Tech Lead as the team grows. You won't be flying solo, and you'll help shape the architecture, not just maintain it.

What you'll do

• Build and ship features across the backend and the dashboard.
• Write correct, performant SQL against a large Postgres warehouse — the numbers drive real decisions.
• Extend the LLM→SQL pipeline and the analytics APIs behind the product.
• Own reliability, testing, and deploy stability as we scale.

• Maintain and extend the React / TypeScript front end.

   

Stack

• Backend: Python 3.12 + FastAPI (async, SQL-first with asyncpg — no ORM).
• Data: large Azure PostgreSQL warehouse (tens of millions of rows) + nightly aggregation pipelines.
• AI: Anthropic Claude (natural-language → SQL, agent workflows).
• Frontend: React 18 + TypeScript + Vite, shadcn/ui + Tailwind, TanStack Query, Recharts.
• Infra: Azure, Redis, Docker, GitHub Actions.

Note: the data-science/ML models are owned by the founder — you won't build or maintain those.

You'll thrive here if you have

• Strong SQL and relational-DB skills (Postgres a plus) — the single most important thing.
• Solid Python, ideally with an async framework (FastAPI).
• Good React + TypeScript.
• A correctness-first instinct for data, and the ability to pick up a fast-built codebase and make it solid.

• Comfort with cloud + CI/CD (Azure a plus) and Docker.

   

Nice to have

• LLM app experience (Anthropic/OpenAI, NL→SQL, RAG).
• Data engineering / BI / warehousing background.
• iGaming, fintech, or marketplace domain experience.

Why join

• A live, revenue-generating product — early enough to shape it.
• A clear growth path to Tech Lead.
• Modern stack: large data warehouse + production LLM pipeline + polished React app.
• Real support: a technical founder on product, an experienced CTO on engineering.

Context

We are building a complex agent that analyzes documents and produces defined data structures extracted from them. Three properties are critical: the structures must be accurate — faithful to the source documents, with exact references and exact quotes; valid — types conforming to their schemas, required fields filled, and so on; and free of duplicates — not repeating structures that were already accepted or rejected before.

Must-have

- 3+ shipped LLM-powered systems in production, each with a measurable quality harness the candidate built personally (golden sets, precision/recall tracking, regression gates in CI). Be ready to walk through one in depth — at whatever level your own NDAs allow — including a concrete regression the harness caught and what changed because of it.
- Proven ability to split model work from deterministic validation: pipelines where extraction is model-driven but every acceptance check (dedup, linkage, schema, rule-conformance) is executable code. Prompt-only quality control is a disqualifier.
- Information-retrieval and data-modeling depth: hybrid exact+semantic indexing; identity-keyed deduplication (record identity over embedding similarity); append-only stores with supersession semantics; incremental re-indexing without full rebuilds.
- Multi-pass agent-pipeline engineering: idempotent, sumable fan-out/verify loops (extract -> validate -> dedup/link -> adversarial verify -> loop-until-dry), token/cost budgeting, caching.
- Evidence-first design method: for every architectural element you propose, you state its precondition and how it is verified; you back your designs with executable acceptance checks against golden sets, not documents alone.

Nice-to-have

- Experience working with and analyzing regulated-domain documents (insurance/finance/legal).
- Event-sourced or lakehouse-style record stores (append-only, versioned, time-travel).
- Knowledge-graph construction and record linkage / entity resolution.
- Adversarial-verification agent patterns (a dedicated verifier stage that tries to refute extractions).
- Custom eval-suite tooling built when off-the-shelf eval frameworks did not fit.