Product Marketing Specialist

🏢 Summary: Junior-to-mid-level product marketing role focused on copywriting, messaging, launch campaigns, and user activation for a modern financial data platform. The position involves collaborating across product, sales, and growth teams while managing content distribution, analytics, and conversion optimization initiatives in a fully remote environment. 🗂️ Requirements: Bachelor's degree, 2+ years of experience in marketing or communications, Strong copywriting, content strategy, or brand messaging experience, Portfolio of writing samples across multiple mediums, Experience marketing to technical audiences, Experience supporting product launches and conversion optimization, Experience with content and social distribution, Familiarity with CRM, dashboards, and funnel tracking, Familiarity with Canva or Figma 📃 Skills: CRM, Canva, Figma, Analytics, SEO, LinkedIn, Twitter 🏢 Description: The financial industry is growing at a record pace, but data providers are still limited by cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is a market data platform providing real-time and historical data across futures, options, and equities through a unified API. The platform combines high performance and reliability with a simplified developer experience. This is a junior-to-mid-level role focused on product marketing, positioning, messaging, and activation, with a strong emphasis on copywriting. You'll work across projects from concept through launch and execute directly. As part of a small, fast-growing team, the role offers opportunities to grow laterally and help shape the marketing function. Benefits - Health insurance - Dental insurance - Disability insurance - Life insurance - 401(k) matching for full-time employees - 100% remote work - Paid in local currency Responsibilities - Write and review landing pages, activation flows, and sales copy to drive engagement and conversion - Drive product marketing initiatives, including positioning, messaging, and launch campaigns - Plan and execute content and social distribution across blogs, LinkedIn, X/Twitter, and founder amplification - Collaborate with product, sales, and growth teams on experiments, campaigns, and activation strategies - Track and measure performance using analytics, dashboards, and CRM tools - Support cross-functional initiatives to optimize user acquisition, engagement, and conversion Requirements - Bachelor's degree - At least 2 years of experience in marketing or communications, with a strong emphasis on copywriting, content strategy, or brand messaging - Writing samples across mediums such as product and UX copy, landing pages, blog articles, SEO content, or social media - Experience marketing to technical audiences including engineers, finance professionals, and scientists - Experience supporting product launches, sales copy, experiments, activation flows, or conversion optimization - Experience creating content and social distribution across blogs, LinkedIn, X/Twitter, and founder amplification - Familiarity with marketing operations and analytics including CRM, dashboards, and funnel tracking - Familiarity with marketing design tools such as Canva and Figma Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, applications are encouraged.

🏢 Summary: Opportunity for a midlevel or senior engineer to build and optimize ultra‑low‑latency, high‑throughput market data infrastructure in C/C++ and Rust, working with petabyte‑scale datasets and performance‑critical systems. The role focuses on developing server applications, feed handlers, and data processing tools while driving low‑level performance improvements. Ideal for engineers passionate about systems programming and performance engineering in financial data environments. 🗂️ Requirements: 5+ years of full-time software engineering experience, Strong proficiency in C/C++ or Rust, Knowledge of systems programming, algorithms, and data structures, Experience with multithreading and multiprocess environments, Knowledge of networked I/O and serialization, Understanding of CPU architecture, kernel, and compilers, Experience with performance optimization and low-latency systems, Comfortable using lldb or gdb 📃 Skills: C, C++, Rust, Multithreading, Networking, Serialization, Linux, Kernel, Compilers, LLDB, GDB, CI/CD 🏢 Description: The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms. We're looking for a midlevel or senior IC to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 20 PB of data, with thousands of bare metal CPU cores at your disposal. Responsibilities Design, develop, and maintain high-performance server applications in C/C++ and Rust. Write message parsers and feed handlers for direct market data feeds from trading venues. Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds). Implement tools and libraries for petabyte-scale data processing and analysis. Collaborate with the systems team to implement best practices for build, deployment, CI/CD. Implement monitoring and improve application uptime. Ensure smooth feature rollouts and updates. Preferred background 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. Strong proficiency in C/C++ or Rust. Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. Experience working with multiprocess environments. Comfortable with lldb/gdb. Good communication skills and work ethic for a remote workplace. An interest in low-level optimization and performance engineering. An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!

🏢 Summary: Midlevel or senior engineering role focused on building and optimizing high-performance market data systems and maintaining a C# client library for financial data APIs. The position involves low-latency C++ development, large-scale data processing, and collaboration on infrastructure, CI/CD, and monitoring in a remote engineering environment. 🗂️ Requirements: 5+ years of software engineering experience, Proficiency in C++, Proficiency in C#, Experience designing APIs, Knowledge of systems programming, Knowledge of algorithms and data structures, Experience with multithreading, Experience with networked I/O, Experience with serialization, Knowledge of CPU architecture, Knowledge of kernels and compilers, Experience with multiprocess environments, Experience with lldb or gdb, CI/CD experience, Monitoring and uptime management, Remote communication skills 📃 Skills: C++, C#, Java, API, CI/CD, lldb, gdb, Multithreading, Serialization, Networking, Linux, Compilers, Kernels 🏢 Description: The financial industry is growing at a record pace, but data providers are still limited by cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento provides real-time and historical data across futures, options, and equities through a unified API. The platform combines high performance and reliability with a streamlined developer experience. We're looking for a midlevel or senior individual contributor to join the core engineering team. You'll be responsible for implementing and maintaining the C# client library and working on performance-sensitive components of the codebase. Responsibilities - Own and maintain the C# client library, ensuring it is robust, well-tested, and easy for external users to integrate with. - Design, develop, and maintain high-performance server applications in C++. - Write message parsers and feed handlers for direct market data feeds from trading venues. - Optimize the existing codebase for high throughput and low latency. - Implement tools and libraries for petabyte-scale data processing and analysis. - Collaborate with the systems team to implement best practices for build, deployment, and CI/CD. - Implement monitoring and improve application uptime. - Ensure smooth feature rollouts and updates. Preferred background - 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. - Strong proficiency in both C++ and C#. - Experience with Java is a plus. - Experience designing APIs with a focus on intuitive, developer-friendly interfaces. - Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility. - Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernels, and compilers. - Experience working with multiprocess environments. - Comfortable with lldb/gdb. - Good communication skills and work ethic for a remote workplace. - Interest in low-level optimization and performance engineering. - Interest in financial data or algorithmic trading. Databento, Inc. provides equal employment opportunities to all employees and applicants in compliance with applicable laws.

🏢 Summary: Midlevel or senior engineering role focused on maintaining a Java client library and building high-performance C/C++ server applications for real-time financial market data systems. The position involves low-latency optimization, market data feed handling, large-scale data processing, and collaboration on CI/CD and infrastructure reliability. 🗂️ Requirements: 5+ years of software engineering experience, Proficiency in C, Proficiency in C++, Proficiency in Java, Experience designing APIs, Knowledge of systems programming, Knowledge of algorithms and data structures, Experience with multithreading, Experience with networked I/O, Experience with serialization, Knowledge of CPU architecture, Knowledge of kernels and compilers, Experience working with multiprocess environments, Experience with lldb, Experience with gdb, Ability to work in a remote environment 📃 Skills: C, C++, Java, C#, APIs, CI/CD, lldb, gdb, Multithreading, Serialization, Linux, Networking, Compilers, Kernels 🏢 Description: The financial industry is growing at a record pace, but data providers are still limited by cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento provides real-time and historical data across futures, options, and equities through a unified API. By owning the market data stack end-to-end, the platform combines the performance and reliability required by trading firms with a simpler developer experience. We're looking for a midlevel or senior individual contributor to join the core engineering team. You'll be responsible for implementing and maintaining the Java client library and working on performance-sensitive parts of the codebase. Responsibilities - Own and maintain the Java client library, ensuring it is robust, well-tested, and easy for external users to integrate with. - Design, develop, and maintain high-performance server applications in C/C++. - Write message parsers and feed handlers for direct market data feeds from trading venues. - Optimize the existing codebase for high throughput and low latency. - Implement tools and libraries for petabyte-scale data processing and analysis. - Collaborate with the systems team to implement best practices for build, deployment, and CI/CD. - Implement monitoring and improve application uptime. - Ensure smooth feature rollouts and updates. Preferred background - 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. - Strong proficiency in both C/C++ and Java. - Experience with C# is a plus. - Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces. - Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility. - Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. - Experience working with multiprocess environments. - Comfortable with lldb/gdb. - Good communication skills and work ethic for a remote workplace. - Interest in low-level optimization and performance engineering. - Interest in financial data or algorithmic trading. Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. The company complies with applicable state and local nondiscrimination laws in every location where it operates. Qualified applicants with arrest or conviction records are considered in accordance with applicable laws. Accommodations are available upon request. Recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience does not exactly match the listed qualifications, applications are encouraged.

🏢 Summary: Mid-level or senior engineering role focused on maintaining a Java client library and building high-performance market data infrastructure in C/C++. The position involves low-latency systems programming, feed handlers, large-scale data processing, and collaboration on CI/CD and monitoring for financial data platforms. 🗂️ Requirements: 5+ years of full-time software engineering experience, Strong proficiency in C, Strong proficiency in C++, Strong proficiency in Java, Experience designing APIs, Knowledge of systems programming, Knowledge of algorithms and data structures, Experience with multithreading, Experience with networked I/O, Experience with serialization, Knowledge of CPU architecture, Knowledge of kernels and compilers, Experience working with multiprocess environments, Comfortable with lldb, Comfortable with gdb, Good communication skills for remote work 📃 Skills: C, C++, Java, C#, API, CI/CD, lldb, gdb, Multithreading, Serialization, Networking, Compilers, Kernel 🏢 Description: Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento combines the performance and reliability required by leading trading firms with a simpler developer experience. We're looking for a midlevel or senior individual contributor to join the core engineering team. You'll be responsible for implementing and maintaining the Java client library and working on performance-sensitive parts of the codebase. Responsibilities - Own and maintain the Java client library, ensuring it is robust, well-tested, and easy for external users to integrate with. - Design, develop, and maintain high-performance server applications in C/C++. - Write message parsers and feed handlers for direct market data feeds from trading venues. - Optimize the existing codebase for high throughput and low latency. - Implement tools and libraries for petabyte-scale data processing and analysis. - Collaborate with the systems team to implement best practices for build, deployment, and CI/CD. - Implement monitoring and improve application uptime. - Ensure smooth feature rollouts and updates. Preferred background - 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup. - Strong proficiency in both C/C++ and Java. - Experience with C# is a plus. - Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces. - Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility. - Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers. - Experience working with multiprocess environments. - Comfortable with lldb/gdb. - Good communication skills and work ethic for a remote workplace. - Interest in low-level optimization and performance engineering. - Interest in financial data or algorithmic trading. Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, the company complies with applicable state and local laws governing nondiscrimination in every location where it operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, qualified applicants with arrest or conviction records are considered.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Senior sales hunter role focused on acquiring new North American sell-side financial institutions (banks, brokers, exchanges) for an enterprise data automation platform. The position involves developing and executing regional sales strategies, managing complex sales cycles, and closing large-scale agreements with C-level stakeholders. It requires deep capital markets knowledge and strong expertise in structured sales methodologies and pipeline management. 🗂️ Requirements: 8+ years technology sales experience, 5+ years complex sales experience in capital markets or financial services technology, Proven track record in solution selling to complex organisations, Strong understanding of wholesale banking and brokerage landscape, Established network within financial services at senior or executive level, Experience closing large-scale agreements, Mastery of sales pipeline creation and opportunity management, Experience using MEDDPICC sales methodology, Experience using Salesforce for pipeline management, Strong negotiation and presentation skills 📃 Skills: Salesforce, MEDDPICC, RFI, RFP, POC, POV, Forecasting, PipelineManagement, CapitalMarkets, SolutionSelling 🏢 Description: About Us Duco is on a mission to reduce the time spent on data-related work by 90%. Our enterprise data automation platform empowers teams to work more efficiently and meaningfully by giving them the ability to automate data controls with the latest technology, such as no-code, the cloud, and AI. We help firms to start trusting their data by giving them one intuitive platform to automate the front-to-back processing of all kinds of data (from structured Excels and RTFs to unstructured PDFs and emails). This eliminates manual work across the data lifecycle and enables firms to act faster, work smarter, save money, reduce risk and comply with regulatory requirements. The Role Duco services some of the world's largest financial institutions globally. We are looking for a seasoned senior sales hunter to help us uncover and land new logos across North American sell-side institutions such as banks, brokers and exchanges. You will join a talented and highly motivated team of more than 200 professionals across the US, UK, Europe and APAC. You will be organised, self-motivated, talented at cultivating long-lasting business relations, and confident engaging with C-level and senior executives. You should also have a strong understanding of the capital markets landscape, allowing you to successfully develop and execute on the regional sales strategy. You will be targeting and working with some of the world's most demanding firms, therefore strong negotiation skills and extensive experience in closing large scale agreements is a must. Primary Responsibilities: - Developing a territory comprised of regional Tier 2 banks, brokers, and infrastructure Fintech providers and systematically working through the market to source and win new opportunities - Creating account plans, performing organization mappings and implementing sales strategies which support business objectives - Developing and maintaining a network of contacts and keeping up a rolling pipeline of 4-5 times your sales target - Efficiently managing and updating your sales pipeline and MEDDPICC information using Salesforce and other available tools - Accurate forecasting for your opportunities and designated territory - Proposing new strategies and tactics to prospect and close new sales opportunities - Working in conjunction with Solutions Engineering, Professional Services, Customer Success and other functional teams to scope opportunities, complete RFI/RFP documents, conduct POCs/POVs, and deliver solutions to prospective customers We are looking for someone with: - 8+ years experience in technology sales and 5+ years in complex sales with a majority in capital markets or financial services technology - A demonstrable track record of success in solution selling to complex organisations - Understanding of the wholesale banking and brokerage landscape as well as key technology and operations vendors - A strong network in financial services including at the senior management and/or executive level - Mastery of sales pipeline creation, opportunity management and closing experience leveraging sales methodologies such as MEDDPICC - The ability to listen carefully, understand customer needs, influence key stakeholders and align towards the same vision internally and externally - Great presentation, communication and negotiation skills Nice to haves: - Subject matter expertise in financial services middle and back office functions and use cases - Understanding of relevant financial market regulations Benefits: - Annual base salary between $175,000 and $200,000 based on experience and qualifications - Competitive commission plan with uncapped earning potential and accelerated rate table - Healthcare insurance with one fully-paid HDHP - 401(k) Retirement Plan with 4% match - Unlimited annual holiday - Enhanced family leave - Employee Assistance Programme - Commuter benefit - 4 volunteering days off - Hybrid working policy (3 days per week in office) - Home working allowance - Opportunity to work abroad for up to 6 weeks per year - Personal learning and development opportunities - Referral bonus - Spot Rewards - Employee of the Month and Employee of the Year awards Disclaimer Because we are committed to inclusivity, we strive to provide equitable opportunities for everyone. If you require accommodation during the recruitment process, please let us know. During the interview process and after hire, we do not discriminate on the basis of race, colour, gender or gender expression, sexual orientation, marital or pregnancy status, national origin, age, disability, religion or creed, socioeconomic background or status, size, or any other protected characteristic.

🏢 Summary: The offer is for a Machine Learning Engineer responsible for developing, evaluating, and deploying predictive ML models focused on Ad Score and Ad Account Health. The role involves end-to-end model development, feature engineering, data analysis, and integration of ML solutions into production systems. It requires close collaboration with cross-functional teams and applying advanced ML techniques to marketing and advertising data. 🗂️ Requirements: Master’s or Ph.D. in related field, Proven experience developing and deploying predictive ML models, Strong expertise in regression, classification, clustering, deep learning, Proficiency in feature engineering and model evaluation, Strong programming skills in Python, Experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn, Experience with SQL, Experience with cloud platforms (GCP, AWS, or Azure), Experience with data warehouses (BigQuery, Snowflake, or Redshift), Experience deploying models via APIs, Experience with Git/GitHub 📃 Skills: Python, SQL, TensorFlow, PyTorch, scikit-learn, GCP, AWS, Azure, BigQuery, Snowflake, Redshift, Git, GitHub, APIs, MachineLearning, DeepLearning, Regression, Classification, Clustering 🏢 Description: About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health. Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization. Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training. Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement. Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs. Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products. Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving. Requirements Master's or Ph.D. in a related field with a strong academic background. Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models. Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning. Proficiency in data manipulation, feature engineering, and model evaluation. Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn. Excellent communication skills and the ability to collaborate effectively within cross-functional teams. A passion for continuous learning and staying updated with the latest trends and technologies in data science. Strong problem-solving abilities and the capacity to translate complex data into actionable insights. Required knowledge of: Python SQL Cloud Platforms (GCP, AWS, Azure) Data Warehouses (BigQuery, Snowflake, Redshift) LLMs / AI APIs Git / GitHub Nice to have: Data Transformation (dbt) Semantic Layers (Cube, Looker, dbt Metrics) TypeScript Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics. Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement. Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures. Nice to have - familiarity with adstock/saturation curves and budget optimization Our interview process includes, but is not limited to the following: Excel and Typing Test We offer a competitive salary and benefits based on ability level, including: Unlimited vacation policy Monthly Phone Stipend Comprehensive Medical, Dental, and Vision insurance options 401(K) plan with matching Dog friendly office Hybrid work opportunity Professional Development Program Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($90,900-$254,100) Level 1 - Possesses essential capabilities $90,900-$123,540 Level 2 - Possesses developing capabilities $123,540-$156,180 Level 3 - Possesses notable capabilities. $156,180-$188,820 Level 4 - Possesses strong capabilities. $188,820-$221,460 Level 5 - Possesses advanced capabilities. $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: LinkedIn WhatsApp Community Instagram Tik Tok Locations New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México AI-Assisted Screening Notice As part of our initial application review process, we may use an AI-assisted tool to help compare skills and job titles from your resume with the requirements of the role. This tool evaluates information based on contextual relevance and is used only to support our manual review process. It is not used to make hiring decisions. If you are a resident of New York City and would like to request an alternative evaluation process or a reasonable accommodation, please contact us at legal@within.co.

🏢 Summary: Senior Magento 2 / Adobe Commerce Backend Developer role focused on building and maintaining scalable e-commerce solutions. The position involves developing custom modules, integrating external services, optimizing performance, and ensuring high code quality in an agile environment. The role also includes working with APIs, message queues, and cloud-based infrastructure to support reliable commerce platforms. 🗂️ Requirements: 7+ years commercial experience with Magento 2 / Adobe Commerce backend, Strong knowledge of Magento architecture, modules, and customization, Proficiency in PHP (OOP, MVC), Strong knowledge of MySQL, Hands-on experience with REST and GraphQL APIs, Experience with message queues (RabbitMQ), Experience integrating payment gateways and logistics systems, Experience with Elasticsearch, Familiarity with monitoring tools, Knowledge of DevOps practices and Adobe Cloud, Ability to perform code reviews and ensure code quality, Experience working in Agile environment, Very good English (min. B2), Work authorization in the EU 📃 Skills: Magento, AdobeCommerce, PHP, MySQL, REST, GraphQL, RabbitMQ, Elasticsearch, NewRelic, Datadog, SumoLogic, CloudFront, Cloudflare, DevOps, AdobeCloud, AI, Claude, Copilot, Cursor 🏢 Description: 🟣 You will be: developing and maintaining backend solutions based on Magento 2 / Adobe Commerce, designing and implementing custom modules, integrations, and platform enhancements, working with APIs (REST, GraphQL) and integrating external services (payments, logistics, booking systems), ensuring high code quality through code reviews and best engineering practices, collaborating with cross-functional teams in an agile environment, supporting performance optimization, monitoring, and reliability of e-commerce platforms. 🟣 Your profile: 7+ years of commercial experience with Magento 2 / Adobe Commerce backend development, very good understanding of Magento architecture, modules, and customization best practices, solid knowledge of PHP (OOP, MVC) and MySQL, hands-on experience with Magento APIs (REST, GraphQL) and message queues (e.g. RabbitMQ), experience integrating external services such as payment gateways and logistics systems, familiarity with Elasticsearch and monitoring tools (e.g. New Relic, Datadog, Sumo Logic), experience working with CDN services (e.g. CloudFront, Cloudflare), understanding of Agile methodologies, competence in performing code reviews (PRs) with a strong focus on code quality and best practices, along with good knowledge of DevOps and Adobe cloud management, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong communication skills and ability to work in a collaborative environment, very good command of English (min. B2), availability to start as soon as possible (or within a short notice period). Work from the European Union region and a work permit are required. 🟣 Nice to have: familiarity with CI/CD pipelines (e.g. GitHub, CircleCI) and external booking systems, knowledge of analytics tools (e.g. Google Analytics, Google Tag Manager) and A/B testing solutions, experience with consent management tools (e.g. OneTrust), expertise in performance optimization and scalable e-commerce solutions, experience with React, Knockout.js, jQuery, familiarity with tools such as Vertex AI, CAPTCHA solutions, or review platforms (e.g. Trustpilot), experience working with multi-vendor e-commerce setups or marketing tools (e.g. Klaviyo), experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support.