Вакансии

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote *ALL CANDIDATES MUST BE LOCATED IN PORTUGAL* About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role We are looking for a Site Reliability Engineer (SRE) to improve the reliability of our AI and analytics platforms and the services that depend on them. As Intermedia expands its global product deployments, this role will strengthen SRE practices across production infrastructure, data pipelines, machine-learning services, customer-facing analytics, and AI-powered Voice and Unified Communications capabilities. You will partner with AI, data, product, and platform teams to build scalable, observable systems that deliver dependable insights and resilient customer experiences. What you will be doing: Run and improve production environments that support AI and AI workloads, data pipelines, analytics applications, and customer-facing services. Build software and automation to manage cloud infrastructure, data platforms, model-serving infrastructure, and application services. Define and measure service level indicators, service level objectives, and error budgets for AI and analytics services, including availability, data freshness, pipeline completion, and inference latency. Build end-to-end observability that correlates metrics, logs, and traces with data-quality signals, AI-service performance, and customer impact. Monitor and optimize the reliability, performance, capacity, and cost of batch and streaming workloads, analytics queries, and inference services. Partner with data engineering and machine-learning teams to make ingestion, transformation, feature, training, deployment, and reporting workflows production-ready. Automate CI/CD and production-readiness checks for data pipelines, model and prompt releases, schema changes, analytics applications, and dashboards. Detect and resolve data-quality incidents involving missing, stale, delayed, or anomalous data, schema drift, and broken lineage or dependencies. Design and test graceful degradation, dependency isolation, retry and fallback patterns, and recovery procedures for impaired AI, data, or downstream services. Improve the reliability of AI-powered Voice and Unified Communications capabilities such as speech recognition, transcription, summarization, intelligent routing, conversational assistance, and text-to-speech. Establish operational monitoring for model and AI-service behavior, including latency, throughput, error rates, drift indicators, and changes in output quality. Plan capacity and run performance, load, and resilience tests across compute-intensive AI workloads, distributed data processing, and analytics services. Lead incident response and post-incident improvement for AI and analytics services, using measurable actions to reduce recurrence and recovery time. Support secure and reliable access to cloud storage, processing, and query services used by analytics products and internal decision-making. Reduce operational toil and improve engineering productivity through platform tooling, runbooks, self-service automation, and clear operational standards. What you will bring to the role: Bachelor's degree in computer science, data engineering, software engineering, or another technical or scientific discipline, or equivalent practical experience. 4-7 years of experience in production operations, systems engineering, SRE or DevOps, software deployment, and maintenance of distributed production systems. Experience with cloud infrastructure, containers, Kubernetes, distributed systems, and scalable compute and storage services. Experience operating data processing, orchestration, storage, or analytics technologies, such as Kafka, Spark, Airflow, dbt, data warehouses, or comparable cloud services. Ability to use metrics, logs, traces, data-quality checks, freshness indicators, lineage, and service-level indicators to diagnose complex production issues. Experience with CI/CD, DataOps or MLOps practices, automated testing, controlled rollout, and rollback of data and AI service changes. Strong troubleshooting skills across Linux, applications, networks, APIs, data pipelines, and distributed service dependencies, with attention to security and access controls. Strong analytical problem-solving and cross-functional communication skills, with a proactive approach to reliability, performance, and continuous improvement. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote *ALL CANDIDATES MUST BE LOCATED IN PORTUGAL* About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote, this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role We are looking for a Site Reliability Engineer (SRE) to improve the reliability of our AI and analytics platforms and the services that depend on them. As Intermedia expands its global product deployments, this role will strengthen SRE practices across production infrastructure, data pipelines, machine-learning services, customer-facing analytics, and AI-powered Voice and Unified Communications capabilities. You will partner with AI, data, product, and platform teams to build scalable, observable systems that deliver dependable insights and resilient customer experiences. What you will be doing: Run and improve production environments that support AI and AI workloads, data pipelines, analytics applications, and customer-facing services. Build software and automation to manage cloud infrastructure, data platforms, model-serving infrastructure, and application services. Define and measure service level indicators, service level objectives, and error budgets for AI and analytics services, including availability, data freshness, pipeline completion, and inference latency. Build end-to-end observability that correlates metrics, logs, and traces with data-quality signals, AI-service performance, and customer impact. Monitor and optimize the reliability, performance, capacity, and cost of batch and streaming workloads, analytics queries, and inference services. Partner with data engineering and machine-learning teams to make ingestion, transformation, feature, training, deployment, and reporting workflows production-ready. Automate CI/CD and production-readiness checks for data pipelines, model and prompt releases, schema changes, analytics applications, and dashboards. Detect and resolve data-quality incidents involving missing, stale, delayed, or anomalous data, schema drift, and broken lineage or dependencies. Design and test graceful degradation, dependency isolation, retry and fallback patterns, and recovery procedures for impaired AI, data, or downstream services. Improve the reliability of AI-powered Voice and Unified Communications capabilities such as speech recognition, transcription, summarization, intelligent routing, conversational assistance, and text-to-speech. Establish operational monitoring for model and AI-service behavior, including latency, throughput, error rates, drift indicators, and changes in output quality. Plan capacity and run performance, load, and resilience tests across compute-intensive AI workloads, distributed data processing, and analytics services. Lead incident response and post-incident improvement for AI and analytics services, using measurable actions to reduce recurrence and recovery time. Support secure and reliable access to cloud storage, processing, and query services used by analytics products and internal decision-making. Reduce operational toil and improve engineering productivity through platform tooling, runbooks, self-service automation, and clear operational standards. What you will bring to the role: Bachelor's degree in computer science, data engineering, software engineering, or another technical or scientific discipline, or equivalent practical experience. 4-7 years of experience in production operations, systems engineering, SRE or DevOps, software deployment, and maintenance of distributed production systems. Experience with cloud infrastructure, containers, Kubernetes, distributed systems, and scalable compute and storage services. Experience operating data processing, orchestration, storage, or analytics technologies, such as Kafka, Spark, Airflow, dbt, data warehouses, or comparable cloud services. Ability to use metrics, logs, traces, data-quality checks, freshness indicators, lineage, and service-level indicators to diagnose complex production issues. Experience with CI/CD, DataOps or MLOps practices, automated testing, controlled rollout, and rollback of data and AI service changes. Strong troubleshooting skills across Linux, applications, networks, APIs, data pipelines, and distributed service dependencies, with attention to security and access controls. Strong analytical problem-solving and cross-functional communication skills, with a proactive approach to reliability, performance, and continuous improvement. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As the Senior Customer Success Operations Manager, you'll play a critical role in building and scaling the operational infrastructure that supports Chainguard's post-sales organization, including Customer Success Management, Professional Services, Customer Support, and Renewals. You'll serve as a strategic partner to Customer Success leadership, translating business priorities into scalable processes, systems, and performance frameworks that improve customer outcomes, operational efficiency, and revenue retention. This role requires someone who can think strategically, influence cross-functional decisions, and drive complex initiatives from strategy through execution. You'll help shape how we operate as we scale, with a focus on automation, data-driven decision-making, and delivering a consistent, customer-centric experience. What you'll do: Customer Success Operations Strategy & Execution Own and execute the Customer Success Operations roadmap, prioritizing initiatives that improve customer experience, operational efficiency, and scalability. Partner with CS leadership to translate organizational priorities into measurable operating plans, processes, and performance expectations. Support capacity planning, resource allocation, and productivity modeling across Customer Success, Professional Services, and Support. Identify operational gaps and lead cross-functional initiatives that improve how our post-sales teams operate. Systems Strategy & Operational Infrastructure Own the strategy, implementation, and optimization of our Customer Success technology ecosystem, ensuring systems support business needs as we scale. Partner with Business Systems and IT to drive integrations, automation, and data integrity across Salesforce, CS platforms, support systems, and product analytics tools. Establish scalable processes and workflows that reduce manual effort and improve visibility across the customer lifecycle. Evaluate and recommend tools and technology investments that improve operational efficiency and the customer experience. Renewals Strategy & Operations Lead the operational implementation of our Renewals function, including forecasting processes, quota tracking, performance measurement, and renewal workflows. Establish reporting and analytics around renewal attainment, gross revenue retention (GRR), net revenue retention (NRR), churn, and contraction. Partner with CS, Sales, and Finance to improve renewal predictability, identify retention risks, and establish clear accountability for revenue outcomes. Develop scalable processes for renewal engagement, risk identification, escalation, and cross-functional coordination. Performance Measurement & Business Insights Establish KPIs, reporting frameworks, and executive dashboards that measure customer outcomes, retention, and operational productivity. Analyze performance trends and translate insights into actionable recommendations for leadership. Drive consistent business reviews and operating cadences to evaluate performance, identify risks, and prioritize improvements. Support annual planning through data analysis, productivity benchmarks, and operational recommendations. Process Optimization & Customer Experience Design and implement scalable processes across onboarding, adoption, customer engagement, renewals, and support. Establish operational playbooks, service-level expectations, and accountability frameworks that improve consistency and execution. Partner cross-functionally to identify friction points in the customer journey and implement improvements that drive customer satisfaction and retention. Lead change management, enablement, and adoption for new processes, systems, and initiatives. What we're looking for: 7+ years of experience in Customer Success Operations, Revenue Operations, Business Operations, or a related function within B2B SaaS. Proven experience owning operational strategy and leading complex, cross-functional initiatives in a high-growth environment. Strong understanding of Customer Success operating models, SaaS retention metrics, renewal forecasting, and customer lifecycle management. Experience building and scaling operational processes, systems, and performance measurement frameworks. Deep Salesforce expertise and experience working with CS platforms, support systems such as Zendesk, and product analytics tools. Strong analytical capabilities, including forecasting, financial modeling, performance reporting, and translating data into business recommendations. Experience partnering with senior leadership across Customer Success, Finance, Sales, and Business Systems. Ability to independently identify business challenges, develop solutions, and influence decisions across functions. Strong communication, stakeholder management, and change management skills. Comfortable operating in ambiguity and balancing strategic priorities with hands-on execution. Strongly preferred: Experience building or scaling Customer Success Operations at a high-growth SaaS company. Experience supporting the launch or transformation of a dedicated Renewals organization. Familiarity with Professional Services operations, including utilization, delivery capacity, and resource planning. Experience implementing and integrating CS technology platforms and driving automation. Experience with SQL, Python, or other analytical and automation tools. Background in cybersecurity, developer tools, or enterprise infrastructure software. Base salary: $140,000-$165,000. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Singapore - Remote; Spain - Remote; United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As a Senior Renewal Manager, Enterprise at Chainguard, you will play a crucial role in ensuring the retention and long-term success of our largest and most strategic customers. You will own the renewal process for a defined book of high-value accounts, managing complex, multi-year, multi-product renewals from early planning through close while delivering a thoughtful, value-driven customer experience. This role sits at the intersection of Customer Success, Sales, and Ops. You will partner closely with Account Executives and Customer Success Managers on every account: you own the renewal, CSMs own adoption and outcomes, and AEs lead expansion. Your work ensures renewal conversations start early, are grounded in the value customers have realized, and support Chainguard’s broader revenue and retention goals. You will act as a trusted partner to customers, guiding renewal conversations with procurement, security leaders, and executives with clarity, empathy, and confidence. Strong business acumen, comfort with complex negotiation, and cross-functional leadership are essential, as each renewal carries significant revenue and requires coordination across many stakeholders. What you’ll do: Renewal Management: Own the end-to-end renewal process for a portfolio of enterprise customers, starting renewal planning 120+ days out and driving on-time renewals through account strategy, stakeholder engagement, and negotiation. Value & Business Case: Partner with CSMs to build renewal business cases grounded in adoption, CVE reduction, and engineering time saved, and present them to economic buyers and executives. Commercial Execution: Structure and negotiate multi-year terms, ramps, co-terms, and pricing changes, and coordinate with Finance, Legal, customer Procurement, and Deal Desk to ensure accurate and timely contract execution. Account Team Partnership: Work with AEs to align renewals with expansion opportunities, so renewal and growth motions move together rather than compete. Forecasting & CRM Hygiene: Maintain accurate renewal data in CRM, including forecasts, risks, and renewal status, to provide clear visibility and predictable outcomes. Risk & Retention Strategy: Identify renewal risks early, including budget pressure, adoption gaps, stakeholder changes, and competitive threats, and lead cross-functional plans to mitigate churn and protect gross retention. Process & Playbooks: Develop and refine enterprise renewal playbooks, including executive engagement and procurement navigation, to increase efficiency and improve on-time renewal rates. Leadership & Mentorship: Serve as the escalation point for the most complex renewals, mentor other Renewal Managers, and help shape how the function scales across segments. What we're looking for: 7+ years of experience in B2B SaaS in renewals, account management, or sales, with direct ownership of six-figure customer contracts. Track record of renewing large, multi-year enterprise agreements at or above value, including through competitive displacement attempts and budget pressure. Proven ability to drive complex renewals with predictability and deliver against gross retention targets. Experience negotiating multi-year agreements, pricing, and contract terms with enterprise procurement teams while maintaining strong customer relationships. Comfort engaging senior stakeholders, including security, engineering, and procurement leaders. Strong project management and organizational skills, with the ability to manage multiple complex renewal cycles simultaneously. Comfort generating quotes, preparing order forms, and maintaining CRM hygiene, ideally in Salesforce. Ability to collaborate effectively with both technical and non-technical stakeholders. High emotional intelligence, strong communication skills, and a proactive, problem-solving mindset. Ability to operate with full autonomy in a fast-paced, evolving environment and lead the build-out of new processes where needed. Strongly Preferred : Experience working with large enterprises in regulated industries such as financial services or healthcare Experience in a high-growth or early-stage startup environment Familiarity with security, DevSecOps, or developer-focused products Passion for technology and cybersecurity Pay Range: Up to 144,286 GBP 70/30 OTE If your experience is close, but doesn’t fulfill all requirements, please apply . Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring Chainguardians with unique backgrounds, perspectives, and experiences. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Atlanta, Georgia, United States BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. As an employee-owned company, BRPH is known for its collaborative culture, technical excellence, and client-focused approach, bringing together multidisciplinary teams to design and build environments that are functional, efficient, and future-ready. SUMMARY : The Senior Construction Project Manager is responsible for leading the successful execution of assigned projects and the achievement of the project’s scope, schedule, and financial requirements and metrics. Their primary responsibilities are to build and lead the project team and to plan, direct, coordinate, and budget activities concerned with specific construction projects. The Senior Construction Project Manager is also responsible for ensuring compliance with corporate Health, Safety, and Environmental (HSE) and Construction Quality Control policy for all assigned projects. The Senior Construction Project Manager shall have experience managing at-risk construction projects ranging from $15M to $50M or more in size. Willingness to travel for project assignments is a plus.  Experience in aerospace, defense, and manufacturing design and construction a plus. ESSENTIAL DUTIES AND RESPONSIBILITIES: •    Lead construction and design/build proposals to include planning, estimating, scheduling, subcontracting, detailing technical and management approach, past performance, and HSE and quality compliance. •    Build client relationships, expand opportunities with new and existing clients, and develop trusted advisor position to grow opportunities. •    Lead opportunities with existing clients and oversee pre-construction activities to procure new projects. •    Prepare baseline performance plans and develop metrics for assigned projects to include baseline costs and planned gross margin, baseline schedule and milestone dates, and projected cash flow. •    Financial performance and reporting of assigned projects including monthly forecasting, managing commitments, and monitoring costs incurred. Responsible for delivering the project for as-bid gross profit or more. •    Safety performance to ensure compliance with corporate policy and site-specific health and safety plan, incident reporting, and implementing corrective actions as necessary. Responsible for endorsing a zero-tolerance environment on site. •    Quality performance to ensure compliance with BRPH CS Construction Quality Management policy, roles and responsibilities are understood, contract documents are adhered to, and the delivered project meets the contractual and design requirements. •    Client Management to ensure the owner is always informed and current on the project status and open issues are resolved promptly.  Responsible for owner satisfaction with product leading to repeat work and exceptional project references. •    Lead the project team with the pre-qualification, selection, and contracting of design professionals and directing the A/E firms in the design process, and monitor their progress in terms of design appropriateness, design to budgets, and schedule to meet the needs of the project. •    For BRPH integrated services projects lead the collaboration and planning efforts with BRPH AE and provide guidance and leadership throughout the design process to ensure construction budgets are met and the design achieves design to cost requirements. •    Lead the project team with the pre-qualification, selection, and subcontracting of construction trade subcontractors and with the procurement of vendor equipment as necessary. •    Lead the development and implementation of a project risk register and change order log to identify, track, and mitigate potential risks to the successful completion of the project. •    Direct the team to obtain the necessary permits, environmental approvals, and licenses necessary to construct the projects. •    Lead, mentor, and manage members of the project team on an ongoing basis. Proactively facilitate in resolving conflicts within the project team. •    Lead and endorse a partnering environment with Owners, supervisory personnel, contractors, and design professionals to discuss and resolve matters such as work procedures, RFIs, change control and management, and any issues that may come upon the projects. . SPECIALTY KNOWLEDGE/EXPERIENCE: Knowledge of heavy industrial structural modifications, including high-capacity overhead crane rail installations and high-tolerance floor alignments. Experience managing complex rigging and heavy-lift operations in vertical integration environments near high-value flight hardware. Understanding of the "Assured Access to Space" (AATS) security umbrella, including the construction and management of SCIFs (Sensitive Compartmented Information Facilities) per ICD 705 standards. Experience navigating government site logistics, including personnel badging, secure communications infrastructure, and mission-critical "Stop Work" launch window protocols. Well versed in corrosion control requirements for C5-M coastal environments, specifically NACE/AMPP standards for high-performance coating systems. Knowledge of specialized materials and safety requirements for working near cryogenic propellant systems (LOX/LH2), including oxygen-compatible materials and non-sparking protocols. Management of concrete restoration and durability projects, including the application of cathodic protection in highly corrosive salt-air environments. Ability to coordinate with government agencies (USSF, NASA) and commercial launch providers to ensure mission assurance and site safety compliance. EDUCATION and/or EXPERIENCE: •    Bachelor’s degree in construction management, engineering, or architecture. •    Minimum of 15 years experience, with 10 years or more as a Project Manager or Construction Project Manager. •    Strong leadership skills that demonstrate the ability to lead a team of individuals to accomplish the project vision, goals, and objectives. •    Strong communication skills, and the ability to work well with clients. •    Knowledge of the built environment infrastructure, including buildings and infrastructure. •    Experience as a Construction Project Manager, which should encompass all aspects of a project or program life cycle, from planning and design management, procurement, construction management, commissioning, and closeout. •    Understanding of critical path method scheduling, and ability to direct a planner/scheduler in constructing a CPM schedule. •    Understanding of Earned Value management procedures. •    Well versed in managing cash flows, and budgets. •    Management of Project Controls (Cost, schedule, budget, procurement, document control). •    Experience in managing general contractors and trade subcontractors. •    Certified Construction Manager (CCM) from CMAA is a plus. •    A certificate as a Project Management Professional (PMP) is a plus. PHYSICAL REQUIREMENTS: •    Ability to navigate and move around the construction site, which may involve walking, climbing ladders and scaffolding, and standing for extended periods on uneven surfaces. •    Ability to lift to 50 pounds. •    Ability to handle tools, equipment, and perform tasks that require coordination and manual skills. •    Manual dexterity, hearing, mental acuity, typing, reaching, repetitive motion, speaking, talking, and visual acuity. •    Ability to operate a motor vehicle. •    Ability to stand and sit for periods longer than 30 minutes but not to exceed two hours consecutively. •    Ability to print and draw letters, numbers, words, characters, and symbols that are legible and understood by others. •    Ability to learn complex tasks and remember how to complete tasks without assistance once trained. •    Ability to control behavior when encountering stressful situations or short deadlines and to maintain a high level of concentration. •    Quick thinking and decision-making ability to address issues and challenges that may arise during construction. •    Endurance to work in various weather conditions and handle the physical demands of supervising a construction project. •    Strict adherence to safety protocols and the ability to enforce safety standards on the construction site. •    Adherence to personal protective equipment (PPE) requirements when on the construction site, such as hard hats, safety vests, and steel-toed boots. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

Location: Remote Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Reporting to Sam Pinsak, Privacy’s Product Lead, who oversees both product and marketing, you'll partner closely with your engineering manager, eng lead, and the engineers on your pod, a product designer, and, depending on the work, leads across risk, payment, and dispute ops, compliance, biz ops, and support. The product team is small, senior, and moves fast. This is a hands-on role: you'll own a broad surface and live in the details — writing the specs, pulling the data you need to make a call, staying close to customers, and sitting in planning and grooming with your engineering squad. You're self-sufficient with data day to day and partner with an analyst on the deeper dives, and you lean on AI tooling to do the work of a much bigger team. Every bet ties back to the P&L, scope gets cut hard, and you'll have a short path to the CEO and to real customers. What You’ll Do: Own the roadmap and strategy for a core product surface Own the surface and its year-long roadmap; keep the whole thing moving while going deep where it counts most right now Pick the right problems across that surface and frame them into testable bets with clear outcomes; set the product vision and strategy Act as the default decision-maker for your surface and make cross-area trade-offs; defend your calls under ambiguity at leadership review Drive decisions with data and deep customer + business understanding Own the metrics that roll directly into financial and business outcomes for your surface; know which levers move them and which to pull first to hit a target Reason in contribution-margin and unit-economics terms, not just feature impact; hold a segment-level model of our customers and spearhead the research that resolves high-impact, ambiguous questions Build the dashboards and success metrics other teams adopt, and use data to drive cross-functional buy-in Lead the team and work cross-functionally Lead an engineering squad as its product manager, and influence cross-functional teams to re-prioritize toward your roadmap Turn recurring decisions into playbooks the team reuses; push for configurable systems and AI/tooling patterns that lift the whole team, not just you Communicate clearly from the detail level up to the strategic picture, adapting to your audience; mentor other PMs and raise the team's craft bar What You’ll Bring: Ownership of a product area (or multiple connected areas) end-to-end and set its strategy — not just execution of a roadmap handed to you Demonstrate strong judgment under ambiguity: you pick the right problems, make defensible calls, and know when to walk away from one Fluent in unit economics and how product decisions move the P&L Ability to find the levers that matter in performance data and turn them into a clear story for non-technical audiences Fluent with AI-assisted tools and actively building with them to multiply your own and the team's output Ability to ramp quickly across unfamiliar domains and get to real depth quickly Consumer or D2C product experience; consumer fintech or payments a strong plus, not a requirement Ability to operate autonomously, with strong communication skills, ruthless about scope without sacrificing quality, and humble The annual US salary range for this role is $ 168,000 - $225,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications. This is a remote position. However, candidates must be located in the United States. We do not offer visa sponsorship or assistance. Benefits for Full-Time US Employees: Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere: work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health, vision, and dental insurance; HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: Commuter benefit Catered lunch every Tuesday and Thursday

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. Your Mission & Who We Are Looking For - Quantitative Academic Foundation: You are currently pursuing a Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field. You are available to contribute up to 20 hours per week during the semester. - ML Model Prototyping: You will support the research and evaluation of deep learning and machine learning models that predict user behavior across our 770 million user base. We are looking for solid Python skills and hands-on familiarity with PyTorch, TensorFlow, scikit-learn, and gradient boosting libraries (LightGBM/CatBoost/XGBoost) to prototype new algorithms. - Large-Scale Data Exploration: Operating on our 1PB+ behavioral data lake, you will extract patterns from terabytes of data to engineer high-fidelity features for our training pipelines. This requires strong SQL fundamentals, an interest in distributed query engines (AWS Athena, Trino, Spark), and fluency with pandas, polars, and NumPy. - Experimentation & Validation: You will collaborate closely with our data scientists to test your fit-for-purpose solutions against our multi-objective optimization problem. We need someone who can rigorously evaluate models through offline experiments and A/B tests before they hit our 100,000+ predictions-per-second production environment. - Plus: ML Infrastructure Exposure: Any prior exposure to the systems that run our real-time scale—AWS, workflow orchestration (Airflow), containerization (Docker), or basic model deployment workflows—will accelerate your impact. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary, and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our Company. We welcome applications from people who will contribute to the diversity of our company.

Location: Remote Workplace: Remote About Us Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About the Team We build the AI agent that helps merchandisers, product managers, and executives grow their e-commerce business: it finds opportunities in their data, tailors insights to each person's role, and takes routine work off their plate by delivering answers where they already work. We are transforming how digital merchandising teams work: instead of digging through reports and configuring rules by hand, they ask in plain language, get answers grounded in their own data, and approve the changes the agent prepares. Customers already rely on the agent to save time and make better decisions. We own the agent end to end, from the first question a merchant asks to the answer they act on. We also own the analytics behind it: the pipelines and cubes for search, browse, and recommendation performance, and the metric definitions merchants rely on. That is why we build the agent and the Customer Dashboard as a platform that every Constructor team extends. We create the foundation that other teams build on: the agent framework, shared components, and infrastructure. On top of it, teams add their own data, tools, and skills, so the agent can answer questions in their domain and the dashboard can show their features without separate interfaces. Each new capability gives merchants more ways to grow their business. What you'll do - Build and own the batch pipelines and cubes behind dashboard analytics and agent insights - Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey - Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total - Own data quality and trust: freshness, monitoring, alerting, and metric definitions - Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products - Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it Requirements Must-have - Proficiency in Python and SQL (any dialect) - Experience building and maintaining batch data pipelines with Spark (PySpark) - Familiarity with the big data stack: Databricks, ClickHouse and dbt - Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs - Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response - Ability to prototype fast and pick the metrics that matter in e-commerce - Ability to translate business questions into technical requirements, and back - Clear communication with engineers and non-technical stakeholders Nice-to-have - Experience building frontend UIs, or willingness to work across the full stack to ship data into product features - Experience with pandas, NumPy - Experience building AI agents: tools, skills, prompts, context, and evaluations - Experience with real-time analytics: ClickHouse, Cube.js - Experience with AWS - Familiarity with statistics for experimentation (A/B tests) Benefits - 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year - 🌎 Fully remote team: choose where you live - 🛋️ Work-from-home stipend to set up your home office - 💻 Apple laptop for new employees - 🧑‍🎓 Annual training and development budget for every employee - 👪 Maternity and paternity leave for qualified employees - 🧠 Smart colleagues who help you grow and make a meaningful impact - 💵 Base salary: 80-120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options, in addition to the base salary - 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Требования: — Опыт работы с Python не менее 5 лет, умение писать production-ready код и использовать паттерны проектирования. — Знание и опыт работы с Docker и Kubernetes. — Опыт работы с Apache Airflow. — Навыки работы с Apache Kafka и REST API. — Знание баз данных и распределённых вычислений. — Опыт использования GitLab CI или GitHub Actions. — Навыки мониторинга с Prometheus и Grafana. — Владение системой контроля версий Git. — Будет преимуществом понимание жизненного цикла MLOps. — Опыт работы с Feature Store и DVC. — Базовые знания машинного обучения, глубокого обучения и методов валидации моделей. — Опыт работы с Apache Spark и Hadoop. Локация: удалённо, Москва или Санкт-Петербург. Требуется гражданство РФ. Оформление через ИП или самозанятость.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our People team are the architects of a great workplace where brilliant minds come together to do their best work. From discovering diverse talent and nurturing future leaders, to creating spaces that spark collaboration and crafting rewards that celebrate success - we're passionate about building a culture where everyone can thrive. We’re looking for a Business Systems Analyst to join our People Technology team in London. This is a full-time, hybrid role. You’ll support and evolve our Workday Time Tracking and/or Absence Management modules through configuration, project delivery and Tier 2 production support - ensuring a reliable, scalable experience for employees, managers, HR and Payroll teams. Get to know our People team - what drives us, how we work, and what you can expect. You’ll report to the Senior Manager, Workforce Management. You’ll be the subject-matter expert for how Time Tracking and/or Absence is configured in our Workday tenant, translating business needs into scalable configuration and helping keep the system running smoothly for end users. Here’s what your day-to-day might look like: Own Workday Time and Absence Configuration: Gather and document requirements, configure Time Tracking and/or Absence Management, and support changes driven by new business needs, acquisitions or divestitures, and regulatory updates. Deliver Robust Change and Release Management: Build and maintain functional designs and configuration workbooks; develop and execute unit, integration, regression and UAT test scripts; and assess the impact of Workday’s biannual releases. Partner Across People, Payroll and Technology: Work with HR, Payroll and business stakeholders to validate time and absence data feeds into pay calculations, and support integrations with workforce-management tools, time clocks, scheduling tools and absence vendors. Provide Tier 2 Production Support: Investigate and resolve escalated technical and configuration issues involving missed punches, incorrect accruals, calculation errors and approval-routing issues. Diagnose complex configuration, data and integration problems, escalating to Tier 3 or Workday support where needed. Improve the Employee Experience: Analyse recurring support issues, identify root causes and recommend proactive configuration fixes or process improvements to improve system reliability and the end-user experience. Build Capability and Confidence: Create and maintain technical documentation, job aids and training materials, and support clear service levels for ticket response and resolution. What you’ll bring: Three or more years of hands-on Workday configuration experience in Time Tracking and/or Absence Management; Core HCM experience is a plus. A solid understanding of Workday business processes, security groups and calculated fields as they relate to Time Tracking and Absence. Experience gathering requirements, writing functional specifications and translating them into configuration. Experience designing and executing test scripts, coordinating UAT and completing regression testing. Strong troubleshooting skills, with experience investigating and resolving complex configuration, business-process and integration issues in a Tier 2 support environment. Experience using a ticketing system such as Jira, and the ability to balance project priorities with production-support requests. Clear, confident communication skills with technical and non-technical stakeholders. Preferred experience includes Workday Time Tracking and/or Absence Management certification; experience with Legion, Calabrio, Deputy, time-clock/device integrations, third-party absence vendors, multi-country configurations or agile delivery. At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine - our interview typically includes 3-4 stages. Find more about how we hire here. Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! #LI-ID1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Москва SberData - департамент по управлению данными всего Сбербанка. SberData строит централизованное хранилище данных - Корпоративную аналитическую платформу, объем которого превышает 100 ПБ. Это продуктово-ориентированная инженерная команда с функциями развития выделенных технологических направлений, отражающих новый подход Сбербанка к данным и к применению AI. Обеспечим развитие и интересные задачи в направлениях: работа над сопровождением крупных проектов хранилищ данных на базе Apache Hadoop и Kubernetes; Hadoop Ecosystem: Apache Spark, Hive, HBase, Kafka, NiFi; оптимизация процессов: Performance Tuning, улучшение SLA поставки данных; мониторинг качества данных, управление Мастер-данными и поддержание доступности платформ. Обязанности ### Задачи: * разбор и решение инцидентов по платформам и сервисам: Spark, Kafka, Hive, K8s * взаимодействие с разработчиками, бизнесом и 2-й линией * анализ причин проблем, выработка предиктивных мер и корректирующих действий * участие в приемо-сдаточных испытаниях прикладного ПО * исследование поведения системы, локализация дефектов, сопровождение патчей * консультации бизнес-пользователей и 2-й линии по вопросам работы с платформой. Требования ### Требования: * опыт работы Data Engineer / Support Engineer от 1,5 лет * уверенное владение SQL * опыт работы с СУБД (Oracle, PostgreSQL, Teradata) * знание клиент-серверных и микросервисных архитектур, понимание принципов построения интеграций через REST API * английский язык: чтение технической документации. ### Будет плюсом: * опыт работы со стеком Hadoop: Apache Hive, Spark, Kafka * python — для написания скриптов автоматизации * опыт создания дашбордов мониторинга: Grafana, Prometheus * опыт работы с продуктами Atlassian: Jira, Confluence * владение PSQL * понимание принципов функционирования хранилищ данных (OLTP/DWH) и систем хранения. Условия ### Условия: * комфортный современный офис: БЦ Даниловский форт, рядом с М.Тульская, Верхние котлы * **график работы – офис** * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: ▫️ Управление пайплайнами данных: batch и CDC-загрузки, трансформации, оркестрация, разбор инцидентов. ▫️ Разработка технических решений: физическая модель данных, структура dbt-проекта, шаблоны. ▫️ Руководство командой из 6–7 дата-инженеров и аналитиков: декомпозиция задач, код-ревью, найм и развитие сотрудников. ▫️ Поддержка AI-разработки: навыки, автопроверки, CI, контекст для AI-агентов. ▫️ Обеспечение качества данных: code review, контроль качества данных, сверка с источниками, мониторинг. ▫️ Обеспечение безопасности: управление доступами, секретами, аудит, взаимодействие с ИБ банка. ▫️ Управление контурами Dev / UAT / Prod: релизы, перенос данных с обезличиванием. ▫️ Выступать технической точкой контакта для банка и смежных команд. Требования: ▫️ Опыт работы в data engineering не менее 7 лет, из них минимум 2 года на позиции технического лидера. ▫️ Готовность активно писать код самостоятельно. ▫️ Опыт построения DWH или Lakehouse, понимание типичных проблем и их решений. ▫️ Экспертные знания SQL, уверенное владение Python, опыт моделирования данных (SCD, историчность). ▫️ Опыт работы с Iceberg, Trino, Spark, dbt, Airflow или аналогичными технологиями. ▫️ Умение аргументировать технические решения и объяснять компромиссы. ▫️ Опыт работы в банковской или другой строго регулируемой среде. Плюсом будет: ▫️ Опыт работы с CDC (Debezium, Kafka Connect), Ansible или другими инструментами Infrastructure as Code. ▫️ Опыт создания платформы данных с нуля. Условия: ▫️ Удалённая работа с необходимостью приезжать в Ереван 1–2 раза в месяц на 2–3 дня, при этом логистика и проживание оплачиваются. ▫️ Оформление через ИП. ▫️ Зарплата обсуждается индивидуально.

Location: Remote Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. About the Role Alpaca is looking for a collaborative and detail-oriented Due Diligence Analyst - Americas (ET hours) to join our Risk team. In this role, you will support the onboarding of new partners, including international fintechs and financial institutions, by helping ensure that required due diligence, risk, compliance, and AML standards are met before launch. This is a hands-on, partner-facing role that sits at the intersection of risk management, third-party due diligence, compliance, operations, and project execution. You will help evaluate prospective partners, review key documentation, coordinate internal requirements, and guide partners through the onboarding process. The ideal candidate is organized, analytical, comfortable communicating with external stakeholders, and able to manage multiple onboarding workstreams in a fast-paced environment. What You’ll Be Doing: Support due diligence reviews for new and existing partners, including fintech companies, financial institutions, vendors, and other third-party service providers. Communicate regularly with prospective and onboarding partners globally to help them understand requirements, timelines, and outstanding documentation needs. Conduct and support third-party risk management processes, including KYC, KYB, enhanced due diligence, policy and procedure reviews, customer onboarding flow reviews, and risk assessments. Review partner-provided documentation for completeness, consistency, and potential risk indicators. Track partner onboarding progress, follow up on outstanding items, and help ensure required documents are submitted ahead of launch deadlines. Respond to partner questions related to the onboarding and due diligence process, escalating requests or issues as appropriate. Work closely with internal teams, including Operations, Compliance, AML, Legal, Product, and Project Management, to ensure partner integrations meet internal requirements. Identify process gaps, recurring partner questions, or documentation issues, and contribute to improvements in the partner onboarding and diligence process. Maintain accurate records of diligence reviews, decisions, approvals, and supporting documentation. What You’ll Need: Experience: 2–3+ years of experience in risk management, operational risk, third-party risk, compliance, AML, financial crime, or related functions within financial services, fintech, brokerage, or another regulated industry. International Mindset: Comfort working with international partners and reviewing diligence materials across different jurisdictions and regulatory environments. Analytical Skills: Strong critical thinking skills with the ability to identify anomalies, inconsistencies, gaps, and potential risk indicators in documentation, data, and partner responses. Organizational Skills: Strong project management and prioritization skills, with the ability to manage multiple partner onboarding processes simultaneously. Communication Skills: Excellent written and verbal communication skills, including the ability to explain requirements clearly to external partners and internal stakeholders. Cross-Functional Collaboration: Ability to work effectively across Risk, Compliance, AML, Operations, Legal, Product, and Project Management teams. Proactive Ownership: A self-starter mindset with strong accountability, sound judgment, and the ability to operate independently in a rapidly evolving environment. Education: Bachelor’s degree in Finance, Business, Economics, Risk Management, Criminal Justice, International Relations, or a related field. Nice to Haves: Familiarity with financial services regulatory expectations, including BSA/AML, KYC, KYB, enhanced due diligence, and third-party risk management practices. Experience supporting partner, vendor, or third-party onboarding in a fintech, brokerage, payments, banking, or financial services environment. Understanding of operational resilience, business continuity, cybersecurity, data protection, or outsourcing risk frameworks. Experience reviewing policies and procedures related to AML, sanctions, customer onboarding, fraud, compliance, or operational controls. Familiarity with broker-dealer, introducing broker, or embedded finance models. Experience using case management, GRC, CRM, or project tracking tools. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Customer Success Manager at Alpaca, you are the front line in our pursuit of enabling financial markets access for everyone on the planet. You'll work with our partners (customers) from contract signature through renewal, ensuring they have a positive experience leading to successful outcomes. Reporting to the Director, Success, this role supports Alpaca's B2B brokerage and crypto offerings, helping customers launch and scale US securities and crypto trading applications worldwide. We're looking for someone who brings hands-on experience in the brokerage, crypto exchange, or trading-platform industry and understands the unique operational, regulatory, and technical challenges of supporting customers in financial markets. Things You Get To Do: Act as the primary contact for B2B/enterprise customers, accountable for building and maintaining strong relationships with key contacts throughout the customer lifecycle Ensure customer satisfaction, retention, and success Manage escalations, internally and externally, with a focus on customer empathy Maintain regular contact with customers to understand their business priorities, monitor their progress toward achieving key results, and continually identify and mitigate risks (relationship, commercial, etc.) Work with partners to accurately forecast growth and identify and monitor progress toward shared goals Drive adoption of Alpaca features (new and existing) among our Live Partners Identify and disseminate best practices and pitfalls Represent the partner internally across multiple groups, including Marketing, Product, and Operations Maintain positive relationships, internally and externally, to drive overall success and overcome obstacles Provide internal communication and reporting on overall account status, health, and risk Develop a success strategy for ensuring customer success Identify areas and consider solutions for improvement and optimization within Alpaca Deliver QBRs and executive reports that align customer goals with platform outcomes Serve as a trusted advisor to customers’ leadership teams, aligning Alpaca capabilities with their go-to-market strategy Own the full customer lifecycle post-signature, including onboarding, activation, expansion, and renewal Collaborate cross-functionally with Product, Sales, and our Broker-Dealer to leverage process understanding, champion partner needs, and influence roadmap priorities Perform ad-hoc duties and responsibilities as assigned Who You Are (Must-Haves): 4–6 years of experience in a customer success role managing customer relationships Direct professional experience working at a brokerage, broker-dealer, crypto exchange, or trading platform Hands-on understanding of brokerage or crypto trading operations, including customer onboarding, account funding, trading workflows, and the operational or compliance challenges associated with financial markets Comfortable working US hours (ET) in a remote setup Understanding of and experience with key technology concepts, such as SaaS and APIs FinTech experience, especially within the broker-dealer business Experience working with both large and small companies A dedicated interest in Alpaca's mission to enable financial services access to everyone on the planet Ability to work remotely and independently and to self-manage time and obligations Flexibility to jump in where and when needed to help drive Alpaca's growth Desire to learn Ability to manage customer relationships across companies of various sizes A team player who thrives on ownership, transparency, and being relentlessly partner-first. We move fast, support each other, and aim to grow together. Who You Might Be (Nice-to-Haves): Experience supporting B2B brokerage-as-a-service, embedded investing, or trading API platforms Familiarity with US securities brokerage infrastructure, including clearing, custody, settlement, and broker-dealer compliance. Experience supporting API integrations or technical onboarding for trading applications. Experience working with international B2B clients or fintech partners launching financial products across multiple markets. Experience managing institutional trading customers or strategic fintech partnerships. Startup mindset suited to a fast-paced, high-growth environment. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Georgia On behalf of NDA, SaaS e-commerce , SD Solutions is looking for a talented Senior MLOps Engineer (Data & ML Platform) based in Georgia (Tbilisi) to join our growing team. You’ll own the data that Falcon’s offer-ranking model learns from: the raw sources, the pipelines, the training tables, and the monitoring around them. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: What you’ll do: Own the ML data pipelines: build and run batch pipelines on Spark and Databricks, from raw data to feature and training tables, including enrichment and backfills for late-arriving data. Onboard new data sources: bring in internal databases, external APIs, partner feeds and web data, and match them to Falcon’s own entities. Use LLMs inside pipelines: add LLM steps to batch jobs, such as turning text into embeddings and structured attributes. Keep training and serving consistent: make sure features match between training and the live inference service, which includes reading its Java code. Monitor data and model inputs: run scheduled data quality checks and Grafana alerts that catch bad data before it reaches the model, and find the root cause when something breaks. Ship like an MLOps engineer: deploy pipelines through CI/CD (GitHub Actions, Docker, AWS) with proper secrets handling, and keep run time and cost under control. Work with AI agents: coding agents write most of Falcon’s code. You’ll decide where agents fit, then check their output on row counts, distributions and edge cases before anyone relies on it. Requirements: 5+ years in data engineering, MLOps or ML platform roles, with pipelines you’ve run in production Production Spark: complex transformations, window functions, large joins, partitioning, and tuning for shuffles and skew. Databricks (jobs, Delta tables) is a big plus. Production Snowflake: SQL, loading and unloading, and cost management Large data volumes: hundreds of millions of rows a month, with incremental loads and backfills that keep run time and cost under control Strong Python: clean, tested code; Spark UDFs including pandas UDFs; pandas and PyArrow Data quality and monitoring: quality checks, drift and anomaly detection, and alerts people can act on Deployment: GitHub Actions, Docker, AWS (S3, IAM) and proper secrets handling Backend engineering: comfortable working in a service codebase, not only in notebooks and SQL AI-first habits: you already use coding agents daily and look for what to automate Fluent English and based in Georgia Nice to have: MLflow and feature stores Airflow or Databricks Workflows Kafka or Spark Structured Streaming Terraform DBT Scala for Spark Reading Java Time-based splits and preventing data leakage in training sets Ad-tech or e-commerce data experience About the company: NDA helps eCommerce brands boost revenue with highly relevant and rewarding post-purchase offers. Our platform delivers personalized offers to customers right after checkout, driving repeat purchases and increasing lifetime value through seamless integrations and data-driven insights By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Санкт-Петербург ИТ B2C - самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Мы, команда офиса CDO B2C, строим платформу данных, которая обеспечивает быстрый, надежный и качественный обмен информацией между Сбером и компаниями-партнерами. Это основа для персонализированных предложений умных продуктов и эффективных бизнес-решений. Наша команда - Команда развития Платформы в офисе CDO B2C ищет DE-инженера для реализации задач по загрузке, аналитике и трансформации данных. Обязанности проектировать и реализовывать ETL/ELT-пайплайны для загрузки и обработки данных (включая DAG в Apache Airflow) оптимизировать и сопровождать процессы обработки больших данных (Apache Spark, Apache Flink) интегрировать источники данных (базы данных, API, файловые хранилища) в единую pipeline-архитектуру настраивать и администрировать Airflow для оркестрации workflows участвовать в разработке архитектуры хранения и обработки данных (включая Hadoop-экосистему) документировать решения и формировать базы знаний. ### Требования наличие высшего образования опыт разработки ETL/ELT-процессов (реализация, оптимизация, мониторинг) профильное владение Python (включая библиотеки для работы с данными) практический опыт с распределенными вычислениями: Apache Spark (PySpark/Scala) или Apache Flink глубокое понимание SQL и опыт работы с РСУБД (PostgreSQL, MySQL и др.) знание Apache Airflow (создание DAG, настройка сенсоров, операторов) навыки администрирования Linux (развертывание, мониторинг, troubleshooting) **Будет преимуществом:** базовые знания Scala (или готовность к изучению) опыт с Hadoop (HDFS, YARN, Hive) знание облачных платформ (AWS S3/Glue, GCP BigQuery, Azure Data Factory) навыки автоматизации (Ansible, Terraform) опыт работы с стриминговыми данными (Kafka, Debezium). Условия гибридный формат ежегодный пересмотр зарплаты и годовая премия расширенный ДМС и льготное страхование для семьи уникальная система обучения Сбера для профессионального и карьерного развития выгодная ипотека для сотрудников подписка Прайм с возможностью совместного использования на трёх близких вознаграждение за рекомендацию друзей в команду Сбера корпоративная пенсионная программа.