Technical Solutions Manager

🏢 Summary: Product Management role owning the strategy, roadmap, and delivery of a portfolio of healthcare operations products focused on automation, integrations, and AI-driven internal tools. The position drives cross-functional execution to launch new capabilities, improve workflow efficiency, and achieve measurable business outcomes. Compensation includes base salary, equity, and benefits. 🗂️ Requirements: 5+ years of Product Management experience, Experience building products that automate manual workflows, Experience working in cross-functional environments (operations, GTM, legal/regulatory), Experience in enterprise software product management, Experience managing products with services and operational components 📃 Skills: ProductManagement, Roadmapping, Automation, WorkflowAutomation, EnterpriseSoftware, SaaS, Analytics, AI, Integrations 🏢 Description: About the role: Medallion eliminates manual work by automating tedious back office processes. In addition to the user platform, underpinning the largest products are powerful internal tools, integrations, automations, and AI that dramatically impact the speed, reliability, and efficiency of these processes. You will own the strategy and development of a portfolio of Medallion's products and associated business outcomes. This base compensation for this role may land between $160,000-$210,000. In addition to base salary, Medallion offers equity and benefits as part of the total compensation package. Many factors are considered when determining pay including market data, geographic location, skills, qualifications, experience, and level. Core Responsibilities: Ownership: - Own the strategy and roadmap for a portfolio of customer applications and the associated business outcomes Strategy: - Develop and maintain a 6-12 month roadmap that reflects the latest technology developments as well as active input from customers and internal stakeholders Execution & impact: - Collaborate with engineers, designers, other PMs, and cross-functional partners to ensure the timely execution of new products and features and deliver the business outcomes driving the investment Rollout: - Work with product marketing and other internal teams to ensure the successful packaging and rollout of new capabilities Analytics: - Develop and refine frameworks for measuring key product and adoption metrics Requirements: - 5+ years in a Product Management role - Experience building products that automate manual workflows - Experience working on a product with significant cross-functional partnership including operations, GTM, and legal/regulatory - Experience in enterprise software product management, especially products with a services and operational component Plusses: - Healthcare domain expertise and experience - Experience building and launching net new products

🏢 Summary: Senior Technical Product Manager role focused on building and scaling analytics products for conversational AI data, including reporting tools, data services, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams in a fully remote environment. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience launching and managing SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of reporting systems and high-scale data processing, Experience with event-driven architectures and cloud infrastructure, Ability to define product strategy and manage product roadmaps, Strong analytical and data-driven decision-making skills, Experience working in agile environments, Experience collaborating with Data Engineering and Data Science teams, Experience with enterprise customer reporting and analytics needs 📃 Skills: SaaS, Analytics, BI, ETL, AI, ML, SQL, Cloud, KPIs, Datawarehousing, Reporting, Visualization, Agile 🏢 Description: As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data Services, Analytics Studio, Report Center, and Data Transporter. The role focuses on defining strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. Position Overview You will lead the development and execution of Analytics capabilities, collaborating with Engineering, Data Science, Sales, and Customer Success teams to define product strategy, prioritize features, and deliver scalable and reliable analytics solutions. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center. - Manage the product roadmap for Data Services and Data Transporter. - Ensure timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Collaborate with Data Science and Engineering teams to integrate AI/ML-driven insights into analytics products. - Define and track KPIs and data quality metrics for data pipelines and analytic tools. - Translate complex data requirements into clear technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management with SaaS analytics and reporting products. - Deep understanding of data warehousing, BI tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Ability to define and execute product strategy in a fast-paced agile environment. - Strong analytical and communication skills. - Experience working with enterprise customers on analytics and reporting needs. - Passion for solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports and dashboards. - Data Transporter & Data Services: ETL infrastructure and pipelines for conversational data. - Conversational Intelligence Analytics: AI/ML-powered insights such as sentiment analysis, topic clustering, and intent detection. Salary - Salary range: $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance. - Wellness resources and Employee Assistance Program. Financial Security & Growth - 401(k) retirement plan with employer match. - HSA & FSA plans. - Employee Stock Purchase Program. - Life, disability, legal, and identity protection insurance. - Professional development resources. Time Away & Family Support - Flexible Paid Time Off. - Paid public holidays. - Generous parental leave policy. Workplace Flexibility - Fully remote work model with optional WeWork collaboration spaces. Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing equal employment opportunities for all qualified applicants. Accessibility Commitment Reasonable accommodations are available for applicants with disabilities.

🏢 Summary: Senior Technical Product Manager role focused on analytics products for conversational AI platforms, including data services, reporting tools, and AI-driven insights. The position involves defining product strategy, managing analytics roadmaps, and collaborating with engineering and data science teams to deliver scalable SaaS analytics solutions. Fully remote role with benefits, focused on enterprise-scale conversational data and analytics capabilities. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, Business, or related field, 7+ years of product management experience, Experience with SaaS analytics and reporting products, Understanding of data warehousing and BI tools, Knowledge of high-scale data processing, Experience with event-driven architectures, Knowledge of cloud infrastructure, Experience developing product strategy and roadmaps, Strong analytical and data interpretation skills, Experience working with enterprise customers, Ability to collaborate with cross-functional technical teams 📃 Skills: SaaS, Analytics, ETL, BI, AI, ML, Cloud, SQL, Datawarehousing, Reporting, Visualization, KPIs 🏢 Description: Position Overview As a Senior Technical Product Manager, you will join the Analytics Product team and be responsible for the Analytics suite, including Data services, Analytics Studio, Report Center, and Data Transporter. The core responsibility is to define the strategy and execution for tools and services that leverage conversational data to provide actionable customer and internal insights. As the Senior Product Manager for Analytics, you will lead the development and execution of Analytics capabilities, focusing on leveraging conversational data to provide actionable customer and internal insights. You will collaborate closely with cross-functional teams, including Engineering, Data Science, Sales, and Customer Success, to define product strategy, prioritize features, and deliver innovative solutions that ensure scalability, reliability, and best-in-class experiences for brands. Key Responsibilities & Impact - Develop and articulate a clear product vision and strategy for the end-to-end Analytics platform, ensuring it empowers customers and internal teams to gain actionable insights from conversational data. - Define, review, and prioritize features for the Analytic Studio/Builder and Report Center, focusing on an intuitive user experience for data exploration, visualization, and report scheduling. - Manage the product roadmap for Data Services and Data Transporter, guaranteeing the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. - Work closely with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features directly into the core analytics products. - Define and track key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool usage. - Act as the primary interface between Analytics users (internal and external) and the Data Engineering teams, translating complex data requirements into clear, technical specifications. Required Skills & Qualifications - Bachelor's degree in Computer Science, Engineering, Business, or a related field (MBA preferred). - 7+ years of experience in product management, with a track record of successfully launching and managing SaaS analytics and reporting products or platforms. - Deep understanding of data warehousing, business intelligence (BI) tools, reporting systems, high-scale data processing, event-driven architectures, and cloud infrastructure. - Proven ability to develop and execute product strategy for data and analytics products, prioritize features, and drive product roadmap planning in a fast-paced, agile environment. - Strong analytical skills, with the ability to gather and interpret data, identify trends in product usage, and make data-driven decisions. - Excellent communication, collaboration, and leadership skills, with the ability to influence and inspire cross-functional teams. - Experience working with enterprise customers on their reporting and analytics needs. - Passion for innovation, creativity, and solving complex data and reporting challenges. Product Coverage Scope - Report Center & Analytic Studio/Builder: Tools for creating, visualizing, and sharing reports, dashboards, and custom analytics using conversational data. - Data Transporter & Data Services: Infrastructure and pipelines for extracting, transforming, and loading (ETL) large volumes of raw conversational data into analytical data stores. - Conversational Intelligence Analytics: Features that leverage AI/ML to derive insights from conversations, such as sentiment analysis, topic clustering, and intent detection. Salary The salary range for this role is between $110,000 to $125,000 USD. Benefits & Perks Health & Wellbeing - Medical, Dental, and Vision Insurance - Wellness resources and Employee Assistance Program (EAP) Financial Security & Growth - 401(k) retirement plan with employer match - HSA & FSA plans - Employee Stock Purchase Program (ESPP) - Additional insurance coverage options - Professional development resources Time Away & Family Support - Flexible Paid Time Off (PTO) - Paid public holidays - Generous parental leave policy Workplace Flexibility - Fully remote work model with optional collaborative workspace access Equal Opportunity Employer The company is committed to fostering an inclusive workplace and providing reasonable accommodations for applicants with disabilities.

🏢 Summary: Technical Product Manager role leading end-to-end delivery of AI and LLM-powered solutions integrated with SAP enterprise systems. Responsible for translating business needs into technical execution, coordinating cross-functional teams, and ensuring successful deployment from POC to MVP. Focused on integrating AI solutions within complex SAP landscapes and multi-component architectures. 🗂️ Requirements: 5+ years in product management, technical program management, or engineering leadership, Strong understanding of GenAI, LLMs, AI agents, vector databases, Experience integrating AI solutions with SAP (S/4HANA, ECC, BTP), Experience with SAP data extraction and API/OData integrations, Ability to document technical requirements and data flows, Experience coordinating complex technical deliveries, Stakeholder management with senior executives 📃 Skills: GenAI, LLM, SAP, S/4HANA, ECC, BTP, OData, APIs, VectorDB, AI, POC, MVP 🏢 Description: Technical Product Manager – AI / SAP Integration Role Overview: We are seeking a Technical Product Manager to drive AI- and LLM-powered solutions from concept to deployment. You will act as the owner of AI initiatives, translating business goals into technical execution, coordinating cross-functional teams, and keeping stakeholders aligned throughout the lifecycle. Key Responsibilities: Lead end-to-end delivery of AI/LLM use cases, from requirements and POCs to MVPs. Integrate AI solutions with enterprise systems, including SAP (S/4HANA, ECC, SAP BTP), aligning with existing processes and architecture. Collaborate closely with business stakeholders, providing updates, demos, and maintaining transparent communication. Document technical and business requirements, including data flows, transformations, and AI outputs. Coordinate developers, architects, designers, and data teams to ensure solutions meet expectations. Manage multiple initiatives simultaneously, prioritizing effectively and ensuring smooth execution. Support operational readiness until formal support structures are in place. Qualifications & Experience: 5+ years in product management, technical program management, or engineering leadership. Solid technical understanding of GenAI / LLMs, multi-component architectures, AI agents, and vector databases. Experience integrating AI solutions with SAP, including data extraction, API/OData integrations, and working with SAP functional/technical teams. Exceptional stakeholder management skills and ability to communicate effectively with senior executives. Proven track record coordinating complex technical deliveries and removing roadblocks proactively.

🏢 Summary: Senior Technical Client Services Specialist responsible for leading a team supporting the Nasdaq/AxiomSL ControllerView platform, managing client relationships, and overseeing system upgrades and issue resolution. The role combines technical expertise with team leadership to deliver high-quality client support across regions. Position is hybrid-based in Wroclaw with focus on complex system deployments and database-driven environments. 🗂️ Requirements: Proven experience in software engineering or software analyst role, Experience leading or mentoring technical teams, Strong knowledge of relational databases, Ability to manage system upgrades, deployments, and UAT support, Experience troubleshooting complex technical issues, Fluency in English 📃 Skills: Oracle, PostgreSQL, SQL, Java, Python, R, ControllerView 🏢 Description: As a Senior Technical Client Services Specialist reporting to Director - Client Managed Services, you’ll play a critical role in enhancing client experiences, and enabling global growth. You’ll thrive in this position if you’re collaborative, data-driven, have a global mindset , and bring a passion for technology to a fast-paced, high-impact environment. Key Responsibilities: Lead, mentor, and develop a high-performing team specializing in the Nasdaq/AxiomSL ControllerView platform. Establish the Polish team as a trusted offshore knowledge hub supporting multiple regions. Build and maintain strong, trust-based relationships with clients across portfolios. Oversee system upgrades, deployments, and quality assurance activities, including integration, regression, and UAT support. Troubleshoot and resolve complex client issues, ensuring timely and effective service delivery. Required Qualifications: Proven years in a software engineering or software analyst role. Leadership skills, good interpersonal and communication skills. Solid understanding of relational database technologies (Oracle, PostgreS, SQL). Excellent interpersonal and communication skills. Fluency in English (spoken and written). Preferred Qualifications: Proficiency in Databases, Java; knowledge of R or Python. ControllerView knowledge. This position will be located in Wroclaw, Poland and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates. Benefits & Rewards: We offer a competitive, well-rounded rewards package that supports you and your family - inside and outside work. The annual gross base pay for this role is zł146,000 - zł285,000. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable, as well as the following benefits: Competitive base salary Annual bonus Annual equity grant Employee Stock Purchase Plan offering discounted company shares Pension plan PPK 6 additional days off per year Extra vacation time based on tenure Work from (almost) anywhere – up to 20 days/year Paid time off to volunteer Health insurance 24/7 mental health support for you and your family Global mentoring program Unlimited access to e-learning platforms Hybrid work setup Modern and comfortable office work environment with fresh fruit, snacks, and weekly fika breaks At Nasdaq, we use a structured job and career framework to make sure growth opportunities are clear and fair. The pay range you see reflects the full salary band for this job level, including room for progression over time. The actual offer will depend on factors like your skills, experience, qualifications, and location, and will fall within a portion of the posted range that’s appropriate for this role. Come as You Are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

🏢 Summary: Lead and build a new ML Acceleration team focused on significantly reducing ML model training time and enabling rapid hot-patching for deployed autonomous vehicle services. This role combines hands-on technical leadership in large-scale ML systems and performance optimization with team building and strategic execution. You will define and implement ML acceleration strategies across distributed training, data pipelines, and hardware optimization in production environments. 🗂️ Requirements: Bachelor's degree in Computer Science or related field, 8+ years of software engineering experience, 5+ years focused on ML systems and model performance optimization, 3+ years in technical lead or engineering management role, Experience building and leading high-performing engineering teams, Extensive experience with large-scale ML model training and deployment in production, Strong understanding of distributed systems, Experience with cloud platforms (AWS, GCP, or Azure), Expertise in ML frameworks such as PyTorch or JAX, Strong Python programming skills, Experience with performance profiling and optimization for deep neural networks, Knowledge of MLOps principles and practices 📃 Skills: Python, C++, PyTorch, JAX, AWS, GCP, Azure, MLOps, DistributedSystems, DeepLearning, PerformanceProfiling, CloudComputing 🏢 Description: Mission Summary: We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services. You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement. What you'll be doing: Team Leadership & Management: Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration. Provide technical guidance, mentorship, and career development opportunities to team members. Foster a collaborative and inclusive team environment. Define team goals, priorities, and roadmap in alignment with company objectives. Technical Strategy & Execution: Define the technical vision and strategy for ML acceleration across the organization. Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques. Design, develop, and implement scalable and efficient ML acceleration solutions. Cross-functional Collaboration: Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly. Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Act as a technical expert and advocate for ML acceleration initiatives across the company. Impact & Measurement: Regularly measure and report on the impact of acceleration efforts. Continuously seek opportunities for further optimization and innovation. What we're looking for: Experience: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems, and model performance optimization. 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams. Extensive experience with large-scale ML model training and deployment, ideally in a production environment. Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure). Technical Skills: Deep expertise in ML frameworks such as PyTorch or JAX. Proficiency in performance profiling and optimization techniques for Deep Neural Networks. Strong programming skills in Python; C++ experience is a plus. Knowledge of MLOps principles and practices. Leadership Skills: Exceptional leadership, communication, and interpersonal skills. Ability to attract, hire, and retain top engineering talent. Proven ability to drive complex technical projects from conception to completion. Strong problem-solving skills and a proactive, results-oriented mindset. Ability to thrive in a fast-paced, dynamic environment. Salary Range $240,000—$330,000 USD

🏢 Summary: Leadership role responsible for managing scrum teams developing and maintaining a cloud-based Computer-Aided Dispatch (CAD) system for public safety operations. The position covers end-to-end software development lifecycle, including architecture definition, engineering planning, and delivery of distributed, real-time systems. The role focuses on building scalable cloud solutions that improve mission-critical decision-making and responder awareness. 🗂️ Requirements: Min. 2 years experience leading software development teams, Experience developing moderate to large software systems, Strong understanding of cloud software development lifecycle, Practical experience programming large-scale systems, Experience defining architecture and engineering requirements, Knowledge of Agile and Scrum methodologies, Fluent English (written and spoken) 📃 Skills: C#, Angular, Python, SQL, NoSQL, Kubernetes, Azure, AWS, Cloud, DistributedSystems, EventProcessing, Agile, Scrum 🏢 Description: The Mission: When emergencies happen, every single second counts. As a Technical Manager, you won't just be managing software development—you will be leading the teams that build our mission-critical Computer Aided Dispatch (CAD) software. This is the technology that public safety professionals and first responders rely on to coordinate rescues, dispatch help, and save lives. What You Will Do: Step into a role where your technical expertise and leadership directly impact public safety. You will take the helm of our Scrum teams, driving both the development of new features and the maintenance of robust, high-stakes software systems. Lead & Inspire: Act as a dedicated mentor and coach to promote outstanding leadership within your engineering teams. Architect the Future: Spearhead the definition of complex engineering requirements and shape the overarching software architecture. Drive the Process: Establish, refine, and champion engineering best practices, while taking ownership of planning and delivering crucial team milestones. Communicate & Collaborate: Act as the technical key figure, using your communication skills to align your team and stakeholders around shared goals. Basic Requirements: Leadership Experience: 2+ years of proven leading, mentoring, and growing software development teams. Technical Chops: Practical, hands-on experience programming large-scale systems and developing moderately complex software architectures. SDLC Mastery: A deep, comprehensive understanding of the entire Software Development Life Cycle. Autonomous Problem Solver: You don't wait for instructions. You thrive under minimal supervision and love untangling complex technical challenges. Team-First Mindset: You are a team player who fosters a culture of trust and collaboration. Clear Communicator: Excellent verbal and written English communication skills. Educational Foundation: A Bachelor’s Degree in Computer Science, Software Engineering, Mathematics, or a related technical field. Bonus Points (Nice-to-Haves): Proven experience managing the complete end-to-end software lifecycle. Cloud engineering expertise, specifically developing scalable applications using public cloud platforms like Amazon AWS or Microsoft Azure The main Tech Stack For The Project: C#, Angular, Python, Relational & Non Relational Databases, k8s, Microsoft Azure, Event Processing, Distributed Data Processing, Agile & Scrum Also, to reward your hard work you’ll get: Private medical coverage Life insurance, MultiSport card IP Tax Relief  - 80% PPE (Employee Pension Plan) - 3,5% Employee Stock Purchase Plan (ESPP) Yearly salary increase (depends on individual performance) Yearly bonus (depends on company performance) Remote work possibility, Flexible working hours Comfortable work conditions (high class offices, parking space, volleyball field on site) Relocation support Trainings and broad development opportunities Great team atmosphere (small scrum teams)

🏢 Summary: Implementation role focused on leading complex SaaS customer onboarding projects, managing enterprise implementations, and coordinating cross-functional teams to ensure successful deployment and customer outcomes. The position involves project management, system setup, API and integration coordination, and process improvement within a healthcare technology environment. 🗂️ Requirements: 5+ years in implementation or project management, Experience leading complex SaaS implementations, Background in B2B SaaS startups, Experience in health tech, digital health, or healthcare operations, Experience managing enterprise-level technical projects, Track record of end-to-end client implementations, Client-facing communication and stakeholder management skills, Experience with SaaS configuration, Knowledge of integrations, APIs, workflows, permissions, and reporting, Proficiency with ClickUp, Jira, and Asana 📃 Skills: SaaS, APIs, Integrations, ClickUp, Jira, Asana, Workflows, Reporting, Permissions 🏢 Description: About Medallion: At Medallion, we believe healthcare teams should focus on what truly matters - delivering exceptional patient care. That's why we've built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes. As one of the fastest-growing healthcare technology companies, Medallion is revolutionizing provider network management. Backed by significant funding from leading investors, the company is on a mission to transform healthcare at scale. About the role: As a member of the Implementation team, you will be responsible for owning and driving the Implementation phase of the customer journey, setting a strong foundation for long term success with Medallion. You will manage several projects in parallel, including top priority enterprise accounts and spanning Medallion's complete suite of services and products. You will serve as the main point of contact for your customers, project manage the end-to-end implementation process, and partner with GTM, Product, and Engineering teams. You will work with customers directly to set them up for success and advocate for their needs internally. You will also build the systems and tools to make these processes more efficient as the business grows. This role reports to the Manager of Implementation and base compensation for this role may land between $95,000 - $140,000. In addition to base salary, Medallion offers equity and benefits as part of the total compensation package. Quick Facts: - Manage enterprise-level SaaS implementations - Partner with Product, Engineering, and GTM teams - Support customer onboarding and system setup - Improve implementation scalability and processes Responsibilities: Project Management & Issue Resolution - Build project plans with clear milestones and due dates - Manage the implementation process end-to-end to achieve target timelines and goals - Align with internal and external teams on milestones and workflows - Identify blockers and coordinate resolutions - Define project scope, goals, and deliverables with stakeholders Data Exchange & System Setup - Support customers with data model and import requirements - Work with APIs, integrations, and system configurations - Coordinate with product and engineering teams Customer Experience - Ensure customers achieve value with Medallion - Advocate for customer needs internally - Create feedback loops between customers and internal teams Process Improvement & Collaboration - Identify gaps in implementation processes - Develop scalable processes and resources - Promote collaboration, accountability, and team cohesion Qualifications: - 5+ years of experience in implementation and/or project management - Experience leading complex SaaS implementations - Experience at a B2B SaaS startup - Experience in health tech, digital health, or healthcare operations preferred - Experience managing enterprise-level projects - Proven success with end-to-end client implementations - Strong client-facing communication and stakeholder management skills - Experience with SaaS configuration, integrations, APIs, workflows, permissions, and reporting - Proficiency with ClickUp, Jira, and Asana - Strong problem-solving and leadership abilities

🏢 Summary: The offer is for a Staff Software Engineer role focused on leading high-impact projects, shipping production code from day one, and shaping technical direction within a healthcare technology platform. The position involves full-stack development, mentoring engineers, and influencing product and technical roadmaps. It requires strong ownership, autonomy, and collaboration across cross-functional teams. 🗂️ Requirements: 8+ years of software engineering experience, Experience leading and mentoring engineering teams, Experience in startup environment, Hands-on experience across frontend and backend systems, Experience with platform, services, data, or cloud infrastructure, Strong technical foundation, Ability to define and deliver technical solutions, Strong cross-functional collaboration skills 📃 Skills: Python, Django, React, JavaScript, TypeScript, Cloud, APIs, Databases 🏢 Description: About Medallion: At Medallion, we believe healthcare teams should focus on what truly matters—delivering exceptional patient care. That's why we've built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes. As one of the fastest-growing healthcare technology companies—ranked No. 3 on Inc. Magazine's 2024 Fastest-Growing Private Companies in the Pacific Region, No. 5 on LinkedIn's 2024 Top Startups in the US, a Glassdoor Best Place to Work in 2024 & 2025, and featured on The Today Show—Medallion is revolutionizing provider network management. Our CEO, Derek Lo, has been named one of the Top 50 Healthcare Technology CEOs of 2024 by The Healthcare Technology Report. Backed by $130M in funding from world-class investors like Sequoia Capital, Google Ventures, Optum Ventures, Salesforce Ventures, Acrew Capital, Washington Harbour, and NFDG, we're on a mission to transform healthcare at scale. We prioritize candidate safety. Please be aware that official communication will only come from @medallion.co email addresses.About the role As a Staff Software Engineer, you will work closely with senior members of the team on a variety of high-impact projects, shipping production code during your very first week, getting steady exposure to a broad set of technologies, and rapidly taking on more responsibility. Expect to work with full autonomy, affect the company roadmap, and ship features that make a meaningful impact on the healthcare system. All on a supportive and experienced team of engineers, PMs, and designers. This role reports to one of our Engineering Managers and base compensation for this role may land between $190,000-$240,0000. In addition to base salary, Medallion offers equity, and benefits as part of the total compensation package. Many factors are considered when determining pay including: market data, geographic location, skills, qualifications, experience, and level. What you'll do Work on meaningful projects with business impact from your very first day. Scope and lead large projects, addressing ambiguity, creating plans, and ensuring technical excellence Help develop the team roadmap, balancing key technical and product tradeoffs Teach and mentor members of the engineering team, constantly modeling how great software should be developed Work within our tech stack, which includes Python and Django on the backend, and React, JavaScript, and TypeScript on the frontend Write a lot of code :) Requirements: Have 8+ years of experience as a software engineer Experience mentoring and leading teams, ideally in a startup environment Have worked in multiple functional areas – frontend, backend, platform, services, data, or cloud infrastructure. Have a strong technical foundation Strong ability to work cross functional to help define, build and deliver on product and tech objectives Care deeply about both technical success and product success Excellent communication skills #LI-Remote

🏢 Summary: B2B contract for an experienced Technical Delivery Manager to lead end-to-end delivery of cloud-based integration initiatives across multiple teams and products. The role focuses on orchestrating technical workstreams, managing dependencies and risks, and ensuring production readiness in a cloud-native Azure environment. Fully remote work with responsibility for aligning engineering, architecture, and business stakeholders. 🗂️ Requirements: Strong experience with cloud-native architectures in Azure, Hands-on experience with Kubernetes (AKS), Knowledge of workflow orchestration tools (Argo Workflows, Temporal, Airflow), Understanding of DAG-based concepts, Proven experience leading technical delivery across multiple teams, Experience in planning, dependency management, and risk management, Ability to create and manage technical roadmaps, Familiarity with DevOps practices (CI/CD, IaC, GitOps, monitoring), Understanding of data integration patterns and orchestration logic, Ability to translate technical requirements into delivery plans 📃 Skills: Azure, Kubernetes, AKS, Argo, Temporal, Airflow, DAG, CI/CD, IaC, GitOps, Monitoring, DevOps 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future. Currently, we are looking for an experienced Technical Delivery Manager , who will act as the central orchestrator for delivering integration capabilities across multiple products, teams, and stakeholders. Project information: Location: remotely Type of employment: B2B contract Remuneration: up to 120 PLN net + VAT per hour on B2B Project languages: English Your tasks: Own end-to-end planning and delivery of integration initiatives across multiple teams Manage dependencies, risks, and timelines to ensure predictable delivery Coordinate parallel workstreams and align priorities across engineering, architecture, and business stakeholders Translate business needs into structured, actionable delivery plans Drive roadmap planning and ensure feasibility based on capacity and technical constraints Act as the primary escalation point and lead resolution of delivery blockers Ensure alignment with DevOps practices and readiness for production deployments Requirements: Strong background in cloud-native architectures, preferably in Azure Experience with Kubernetes (AKS) and modern integration platforms Solid understanding of workflow orchestration tools (e.g., Argo Workflows, Temporal, Airflow) and DAG-based concepts Proven experience leading technical delivery across multiple teams in complex environments Strong skills in planning, dependency management, roadmap creation, and risk management Ability to translate complex technical concepts into clear, actionable delivery plans Excellent communication and stakeholder management skills Familiarity with DevOps practices (CI/CD, IaC, GitOps, monitoring) Structured, proactive, and delivery-focused mindset with strong ownership Understanding of data integration patterns, message flows, mappings, and orchestration logic We offer: Private medical care with dental care (covering 70% of costs). Family package option possible. Multisport card (also for an accompanying person). Life insurance. Work with talented engineers on large-scale, technically challenging projects.