\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What You'll Bring:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong Python or Java/Scala experience\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Production experience with big-data technologies and systems for handling sophisticated agentic workflows.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Technical Requirements:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Bachelors of Science in CS or related field. \u003C/p>\u003C/li>\u003C/ul>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">3+ years building and shipping production AI/ML solutions and co-working with Data Scientists\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with Python AND Java/Scala or similar languages. \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong CS foundation (data structures, asynchronous programming) \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong test writing discipline\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Employment Opportunity at Machinify\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. \u003C/p>\u003Cp style=\"min-height:1.5em\">See our Candidate Privacy Notice at: \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.machinify.com/candidate-privacy-notice/\">https://www.machinify.com/candidate-privacy-notice/\u003C/a>\u003C/p>","https://jobs.ashbyhq.com/machinify/090a774d-0e47-4900-9078-160294d24685",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[577],{"city":30,"region":31,"country":32},"2025-09-09T07:16:59.763Z","Candidates must possess a Bachelor of Science in Computer Science or a related field, with at least 3 years of experience building and shipping production AI/ML solutions and collaborating with Data Scientists. Proficiency in Python and Java/Scala or similar languages is required, along with a strong computer science foundation including data structures and asynchronous programming. A strong test-writing discipline and the ability to understand and contribute to complex enterprise-grade code are also necessary. Experience with big-data technologies and systems for sophisticated agentic workflows is essential.","The Software Engineer will build systems to accelerate and scale AI/ML innovations in production platforms, focusing on Payment Integrity and Audit solutions. This includes working with data scientists on state-of-the-art AI systems like LLM prompt engineering, RAG, and agents, ensuring they can scale flexibly. Responsibilities also involve building systems for high-velocity data science experimentation, driving projects to reduce manual audit review times and automate complex reviews, and building upon NLP and traditional ML approaches. The engineer will collaborate deeply with Data Science and Data Engineering to deliver end-to-end solutions and explore/implement advanced AI approaches like AI agents to automate workflows and support complex use cases.",{"employment":582,"compensation":584,"experience":585,"visaSponsorship":589,"location":590,"skills":591,"industries":598},{"type":583},{"id":120,"name":121,"description":232},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":586},[587,588],{"id":180,"name":181,"description":237},{"id":289,"name":290,"description":291},{"type":11},{"type":11},[295,187,592,189,593,303,348,349,594,188,595,596,597],"LLM prompt engineering","Agents","Big Data Technologies","Automation","Data Science Experimentation","Data Engineering",[599,600,601,602],{"id":78,"name":77},{"id":252,"name":540},{"id":75,"name":74},{"id":252,"name":253},{"id":604,"title":605,"alternativeTitles":606,"slug":621,"jobPostId":604,"description":622,"applyUrl":623,"company":80,"companyOption":624,"locations":625,"listingDate":627,"listingSite":113,"isRemote":22,"requirements":628,"responsibilities":629,"status":116,"expiryDate":26,"summary":630},"0dacedd4-2555-4eaf-b128-edbf3a967ba2","Director | Analytics and Business Optimization",[607,608,609,610,611,612,613,614,615,616,617,618,619,620],"Head of Analytics and Optimization","VP of Business Intelligence and Analytics","Lead Data Scientist, Business Optimization","Director of Data Analytics and Strategy","Senior Manager, Business Performance Analytics","Analytics Lead, Growth Optimization","Director, Quantitative Analysis and Business Improvement","Head of Business Intelligence and Data Strategy","Director of Operations Analytics","Lead Business Optimizer, Data Science","Director, Strategic Analytics","Analytics Director, Performance Management","Head of Data Science, Business Operations","Director, Business Insights and Optimization","director-analytics-and-business-optimization-0dacedd4-2555-4eaf-b128-edbf3a967ba2","Location Type: Remote\n\nEmployment Type: FullTime\n\n\u003Cp style=\"min-height:1.5em\">Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cbr />\u003Cbr />\u003Cstrong>About the job\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction, and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\u003C/p>\u003Cp style=\"min-height:1.5em\">We are seeking a \u003Cstrong>Director of Analytics and Business Optimization\u003C/strong>. This role will be responsible for leading the design, execution, and scaling of the analytics function at Machinify. The initial focus will be on personally driving high-impact analyses that inform business optimization;and over time, building and leading a high-performing analytics team. This role requires a strong analytical background, deep business acumen, and the ability to translate data into actionable insights that guide operational and strategic decisions. Reporting to the Chief AI Officer, the Director will work closely with business, product, and engineering leaders to ensure analytics drives measurable improvements in customer and company outcomes.\u003Cbr />\u003Cbr />\u003C/p>\u003Ch2>What You Will Do\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Lead critical business analyses\u003C/strong>: Perform end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Design foundational data assets\u003C/strong>: Build and maintain the base data sets, aggregates, and pipelines required for robust reporting and insight generation.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Create business dashboards\u003C/strong>: Partner with engineering and product teams to deliver comprehensive reporting dashboards that provide leaders with real-time visibility into operational and financial performance.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Run simulations and financial models\u003C/strong>: Use historical data to design models that simulate the impact of business decisions—helping leadership understand trade-offs and predict outcomes of operational “knob-turning.”\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Deliver ad hoc insights\u003C/strong>: Scope and execute analyses to answer urgent or strategic questions posed by executives and operational leaders.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Collaborate cross-functionally\u003C/strong>: Translate business problems into analytical approaches and communicate findings effectively to both technical and non-technical stakeholders.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Hire and scale a team\u003C/strong>: As the business grows, recruit, mentor, and manage a team of analysts to extend the reach and impact of the analytics function.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Drive continuous improvement\u003C/strong>: Establish best practices in analytics, promote data-driven decision-making, and foster a culture of accountability and innovation.\u003Cbr />\u003Cbr />\u003C/p>\u003C/li>\u003C/ul>\u003Ch2>What You Bring\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Data Analytics, Engineering, or related discipline).\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">10+ years of analytics, business intelligence, or quantitative consulting experience, with at least 5 years in a leadership role, ideally including start-up or growth-stage company experience.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Technical proficiency in SQL/python and ability to interact with modern database systems to manipulate datasets\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Proven track record of delivering high-impact analyses and driving measurable business improvements.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience designing and building core data sets, dashboards, and business intelligence infrastructure.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong financial modeling and simulation skills, with the ability to quantify the impact of strategic and operational changes.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ability to communicate complex analytical findings clearly to executives and cross-functional partners.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience hiring, mentoring, and scaling high-performing analytics teams.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Comfort operating in a fast-paced, ambiguous environment and balancing short-term needs with long-term strategic priorities.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Optimism, resilience, and a collaborative spirit; you thrive on helping both your team and the business succeed.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Employment Opportunity at Machinify\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. \u003C/p>\u003Cp style=\"min-height:1.5em\">See our Candidate Privacy Notice at: \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.machinify.com/candidate-privacy-notice/\">https://www.machinify.com/candidate-privacy-notice/\u003C/a>\u003C/p>","https://jobs.ashbyhq.com/machinify/fd87ea28-0aeb-4696-8cbe-00f6d7cab3f5",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[626],{"city":30,"region":31,"country":32},"2025-09-09T07:17:01.194Z","Candidates must possess a degree in a quantitative field such as Statistics, Economics, Operations Research, Data Analytics, or Engineering. A minimum of 10 years of experience in analytics, business intelligence, or quantitative consulting is required, with at least 5 years in a leadership role, ideally within a start-up or growth-stage company. Technical proficiency in SQL/Python and experience interacting with modern database systems are essential. A proven track record of delivering high-impact analyses, driving measurable business improvements, and experience designing/building core data sets, dashboards, and BI infrastructure are necessary. Strong financial modeling and simulation skills are also required.","The Director of Analytics and Business Optimization will lead the design, execution, and scaling of the analytics function, initially driving high-impact analyses for business optimization and eventually building and leading a team. Responsibilities include performing end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities. The role involves designing foundational data assets, building and maintaining base data sets, aggregates, and pipelines, and creating business dashboards in partnership with engineering and product teams. The Director will also run simulations and financial models to predict the impact of business decisions, deliver ad hoc insights to answer urgent questions, and collaborate cross-functionally to translate business problems into analytical approaches. Additionally, the role includes hiring, mentoring, and managing a team of analysts, and establishing best practices in analytics to promote data-driven decision-making and a culture of accountability and innovation.",{"employment":631,"compensation":633,"experience":634,"visaSponsorship":637,"location":638,"skills":639,"industries":648},{"type":632},{"id":120,"name":121,"description":232},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":635},[636],{"id":289,"name":290,"description":291},{"type":11},{"type":11},[640,641,138,540,295,642,643,496,644,645,646,647,135,303],"Analytics","Business Optimization","Healthcare Claims","Payment Operations","Team Building","Strategic Planning","Operational Improvement","Data Visualization",[649,650,652],{"id":78,"name":77},{"id":252,"name":651},"Artificial Intelligence",{"id":252,"name":253},{"id":654,"title":655,"alternativeTitles":656,"slug":672,"jobPostId":654,"description":673,"applyUrl":674,"company":80,"companyOption":675,"locations":676,"listingDate":678,"listingSite":113,"isRemote":22,"requirements":679,"responsibilities":680,"status":116,"expiryDate":26,"summary":681},"9e1f4a19-d063-4192-8887-fc745f0268cc","Data Engineering Manager",[657,658,659,660,661,662,663,664,665,666,667,668,669,670,671],"Lead Data Engineer","Senior Data Engineer (Team Lead)","Head of Data Engineering","Data Platform Engineering Lead","Big Data Engineering Manager","Analytics Engineering Manager","Data Pipeline Manager","Data Infrastructure Manager","Senior Manager, Data Engineering","Director of Data Engineering","Data Architecture Manager","Cloud Data Engineering Lead","ETL/ELT Engineering Manager","Data Warehouse Engineering Manager","Machine Learning Data Engineering Manager","data-engineering-manager-9e1f4a19-d063-4192-8887-fc745f0268cc","Location Type: Remote\n\nEmployment Type: FullTime\n\n\u003Cp style=\"min-height:1.5em\">Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\u003C/p>\u003Ch2>\u003Cstrong>Why this role matters\u003C/strong>\u003C/h2>\u003Cp style=\"min-height:1.5em\">As a \u003Cstrong>Data Engineering Manager\u003C/strong>, you will lead a high-performing team responsible for transforming raw external and customer data into actionable, trusted datasets. Your team’s work powers product decisions, ML models, operational dashboards, and client integrations.\u003C/p>\u003Cp style=\"min-height:1.5em\">You’ll combine \u003Cstrong>hands-on technical expertise\u003C/strong> with \u003Cstrong>people and project leadership\u003C/strong>, reviewing and designing production pipelines, mentoring engineers, and driving best practices. You will also be a key cross-functional partner, collaborating with \u003Cstrong>product managers, Server teams, Platform teams, UI teams, SMEs, account managers, analytics teams, ML/DS teams, and customer success\u003C/strong> to ensure data is accurate, reliable, and impactful.\u003C/p>\u003Cp style=\"min-height:1.5em\">This is a high-visibility role with both strategic and tactical impact — shaping data workflows, onboarding new customers, and scaling the team as the company grows.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>\u003Cstrong>What You’ll Do\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Lead, mentor, and grow a high-performing team of Data Engineers, fostering \u003Cstrong>technical excellence, collaboration, and career growth\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Own the design, review, and optimization of \u003Cstrong>production pipelines\u003C/strong>, ensuring \u003Cstrong>high performance, reliability, and maintainability\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Drive \u003Cstrong>customer data onboarding projects\u003C/strong>, standardizing external feeds into canonical models.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Collaborate with senior leadership to define \u003Cstrong>team priorities, project roadmaps, and data standards\u003C/strong>, translating objectives into actionable assignments for your team.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Lead sprint planning and work with cross-functional stakeholders to \u003Cstrong>prioritize initiatives that improve customer metrics and product impact\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Partner closely with \u003Cstrong>Product, ML, Analytics, Engineering, and Customer teams\u003C/strong> to translate business needs into effective data solutions.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ensure \u003Cstrong>high data quality, observability, and automated validations\u003C/strong> across all pipelines.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Contribute hands-on when necessary to \u003Cstrong>architecture, code reviews, and pipeline design\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Identify and implement \u003Cstrong>tools, templates, and best practices\u003C/strong> that improve team productivity and reduce duplication.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Build \u003Cstrong>cross-functional relationships\u003C/strong> to advocate for data-driven decision-making and solve complex business problems.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Hire, mentor, and develop team members, fostering a \u003Cstrong>culture of innovation, collaboration, and continuous improvement\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Communicate \u003Cstrong>technical concepts and strategies\u003C/strong> effectively to both technical and non-technical stakeholders.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Measure team impact through \u003Cstrong>metrics and KPIs\u003C/strong>, ensuring alignment with company goals.\u003Cbr />\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>\u003Cstrong>What You Bring\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Degree\u003C/strong> in Computer Science, Engineering, or a related field.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>3+ years\u003C/strong> of combined technical leadership and engineering management experience, preferably in a startup, with a proven track record of \u003Cstrong>managing data teams and delivering high-impact projects\u003C/strong> from concept to deployment.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>10+ years\u003C/strong> of experience in data engineering, including building and maintaining \u003Cstrong>production pipelines\u003C/strong> and distributed computing frameworks.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong expertise in \u003Cstrong>Python, Spark, SQL, and Airflow\u003C/strong>\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Hands-on experience in \u003Cstrong>pipeline architecture, code review, and mentoring junior engineers\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Prior experience with \u003Cstrong>customer data onboarding\u003C/strong> and standardizing non-canonical external data.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Deep understanding of \u003Cstrong>distributed data processing, pipeline orchestration, and performance tuning\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Exceptional ability to \u003Cstrong>manage priorities, communicate clearly, and work cross-functionally\u003C/strong>, with experience building and leading high-performing teams.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Demonstrated experience \u003Cstrong>leading small teams\u003C/strong>, including performance management and career development.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Comfortable with \u003Cstrong>ambiguity\u003C/strong>, taking initiative, thinking strategically, and executing methodically.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ability to \u003Cstrong>drive change, inspire distributed teams, and solve complex problems with a data-driven mindset\u003C/strong>.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Customer-oriented, ensuring work significantly advances \u003Cstrong>product value and impact\u003C/strong>.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Bonus:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Familiarity with \u003Cstrong>healthcare data\u003C/strong> (837/835 claims, EHR, UB04).\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with \u003Cstrong>cloud platforms\u003C/strong> (AWS/GCP), \u003Cstrong>databricks\u003C/strong> , \u003Cstrong>streaming frameworks\u003C/strong> (Kafka/SQS), and \u003Cstrong>containerized workflows\u003C/strong> (Docker/Kubernetes).\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience building \u003Cstrong>internal DE tooling, frameworks, or SDKs\u003C/strong> to improve team productivity.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Ch2>\u003Cstrong>Why you'll love working here\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>High Impact:\u003C/strong> Your team’s work powers key decisions across product, ML, operations, and customer-facing initiatives.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Ownership & Growth:\u003C/strong> Influence the data platform and pipeline architecture while mentoring a growing team.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Cross-Functional Exposure:\u003C/strong> Work with product, platform, engineering , ML, analytics, and customer teams to solve meaningful problems.\u003Cbr />\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Remote Flexibility:\u003C/strong> Fully remote with opportunities to collaborate across teams.\u003Cbr />\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Early Builder Advantage:\u003C/strong> Shape processes, standards, and practices as we scale.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Employment Opportunity at Machinify\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. \u003C/p>\u003Cp style=\"min-height:1.5em\">See our Candidate Privacy Notice at: \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.machinify.com/candidate-privacy-notice/\">https://www.machinify.com/candidate-privacy-notice/\u003C/a>\u003C/p>","https://jobs.ashbyhq.com/machinify/5dfc67d1-5243-4f3f-9cf6-cc5fa649d003",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[677],{"city":30,"region":31,"country":32},"2025-09-25T09:37:14.413Z","Candidates should possess a degree in Computer Science, Engineering, or a related field, with at least 3 years of technical leadership and engineering management experience, preferably in a startup environment. A minimum of 10 years of experience in data engineering is required, including building and maintaining production pipelines and distributed computing frameworks. Strong expertise in Python, Spark, SQL, and Airflow is essential, along with hands-on experience in pipeline architecture, code review, and mentoring junior engineers. Prior experience with customer data onboarding and standardizing non-canonical external data is necessary, as is a deep understanding of distributed data processing, pipeline orchestration, and performance tuning. Exceptional ability to manage priorities, communicate clearly, and work cross-functionally, with demonstrated experience building and leading high-performing teams, including performance management and career development, is also required.","The Data Engineering Manager will lead, mentor, and grow a high-performing team of Data Engineers, fostering technical excellence, collaboration, and career growth. They will own the design, review, and optimization of production pipelines, ensuring high performance, reliability, and maintainability. This role involves driving customer data onboarding projects, standardizing external feeds into canonical models, and collaborating with senior leadership to define team priorities, project roadmaps, and data standards. The manager will lead sprint planning, prioritize initiatives that improve customer metrics and product impact, and partner closely with Product, ML, Analytics, Engineering, and Customer teams to translate business needs into effective data solutions. Responsibilities also include ensuring high data quality, observability, and automated validations across all pipelines, contributing hands-on when necessary to architecture, code reviews, and pipeline design, and identifying and implementing tools, templates, and best practices to improve team productivity. The role requires building cross-functional relationships to advocate for data-driven decision-making, solving complex business problems, hiring, mentoring, and developing team members, and communicating technical concepts and strategies effectively to both technical and non-technical stakeholders, while measuring team impact through metrics and KPIs.",{"employment":682,"compensation":684,"experience":685,"visaSponsorship":688,"location":689,"skills":690,"industries":698},{"type":683},{"id":120,"name":121,"description":232},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":686},[687],{"id":289,"name":290,"description":291},{"type":11},{"type":11},[597,691,692,693,137,694,135,303,695,696,295,697],"Pipeline Design","Mentoring","Project Management","Cloud Platforms","ETL","Data Warehousing","Cross-functional Collaboration",[699,701,702],{"id":252,"name":700},"Healthcare Technology",{"id":252,"name":651},{"id":252,"name":703},"SaaS",{"id":705,"title":706,"alternativeTitles":707,"slug":716,"jobPostId":705,"description":717,"applyUrl":718,"company":80,"companyOption":719,"locations":720,"listingDate":722,"listingSite":113,"isRemote":22,"requirements":723,"responsibilities":724,"status":116,"expiryDate":26,"summary":725},"ad52a730-d481-4284-b830-5451be9b85f9","Product Manager",[708,709,710,711,712,713,714,715],"Product Visionary","Product Strategist","Product Director","Product Innovation Manager","Product Architect","Product Manager (with a focus on strategy and innovation)","Product Growth Manager","Product Development Manager","product-manager-ad52a730-d481-4284-b830-5451be9b85f9","Location Type: Remote\n\nEmployment Type: FullTime\n\n\u003Cp style=\"min-height:1.5em\">Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cbr />Machinify is seeking a Product Manager to help us translate the voice of the customer and our product strategy into product requirements.\u003Cbr />\u003Cbr />\u003Cstrong>What you’ll do:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Work with product leadership and key stakeholders to shape future product strategy, and ensure flawless execution of the product roadmap\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Understand the drivers of business value to the customer, challenge the status quo and propose new solutions.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Translate customer opportunities and needs into requirements for our Design, Engineering, and Data Science teams.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Facilitate refinement discussions to drive out needed functional requirement details\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Work closely with Design teams in detail to create impactful product interfaces and user experiences.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Leverage product analytics and user metadata to relentlessly pursue continuous improvement initiatives\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Drive cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration across teams\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Bring a high level of curiosity and the ability to ask probing questions\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Develop a deep understanding of the Machinify platform and products and the ability to estimate technical complexity of implementation.\u003Cbr />\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What you bring\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Extensive Product Management experience in a high-tech org delivering complex software products, ideally within AI/ML, or data-driven domains.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong ability to manage trade-offs between short-term wins and long-term strategy, with a track record of driving both.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience working directly with operations or domain-expert teams to ensure product-market fit and operational viability.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong background in partnering with Design teams and applying UX best practices.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Demonstrated success in leading software delivery, either as a Product Manager or Engineer, with deep technical curiosity.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Initiative and ownership—you drive projects from vision to prototype to design to execution.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Excellent communication, facilitation, and decision-making skills, with the ability to build trust-based relationships across teams.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">High curiosity and the ability to ask the right questions to challenge assumptions and uncover opportunities.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Employment Opportunity at Machinify\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. \u003C/p>\u003Cp style=\"min-height:1.5em\">See our Candidate Privacy Notice at: \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.machinify.com/candidate-privacy-notice/\">https://www.machinify.com/candidate-privacy-notice/\u003C/a>\u003C/p>","https://jobs.ashbyhq.com/machinify/dddb468a-e19d-4933-993e-d34402130de7",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[721],{"city":30,"region":31,"country":32},"2025-10-02T12:26:50.058Z","- Experience in a high-tech organization delivering complex software products, ideally within AI/ML, or data-driven domains\n- Strong ability to manage trade-offs between short-term wins and long-term strategy\n- Experience working directly with operations or domain-expert teams to ensure product-market fit and operational viability\n- Strong background in partnering with Design teams and applying UX best practices\n- Demonstrated success in leading software delivery, either as a Product Manager or Engineer, with deep technical curiosity\n- Excellent communication, facilitation, and decision-making skills\n- Ability to build trust-based relationships across teams\n- Initiative and ownership – drive projects from vision to prototype to design to execution\n- Experience with product analytics and user metadata to pursue continuous improvement initiatives\n- Ability to estimate technical complexity of implementation","- Work with product leadership and key stakeholders to shape future product strategy\n- Understand the drivers of business value to the customer and challenge the status quo\n- Propose new solutions based on customer opportunities and needs\n- Translate customer opportunities and needs into requirements for Design, Engineering, and Data Science teams\n- Facilitate refinement discussions to drive out needed functional requirement details\n- Create impactful product interfaces and user experiences\n- Leverage product analytics and user metadata to pursue continuous improvement initiatives\n- Drive cross-functional alignment among stakeholders\n- Build strong partnerships and facilitate collaboration across teams\n- Ensure product-market fit and operational viability",{"employment":726,"compensation":728,"experience":729,"visaSponsorship":734,"location":735,"skills":736,"industries":744},{"type":727},{"id":120,"name":121,"description":232},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":125,"details":26},{"experienceLevels":730},[731,733],{"id":130,"name":131,"description":732},"Build upon established skills and take on more responsibility.",{"id":180,"name":181,"description":237},{"type":11},{"type":11},[737,738,739,740,741,742,697,187,743],"Product Strategy","Product Roadmap","Requirements Gathering","User Experience","Product Analytics","Stakeholder Management","Data-driven Domains",[745,746],{"id":78,"name":77},{"id":252,"name":253},{"id":748,"title":749,"alternativeTitles":750,"slug":758,"jobPostId":748,"description":759,"applyUrl":760,"company":80,"companyOption":761,"locations":762,"listingDate":764,"listingSite":113,"isRemote":22,"requirements":765,"responsibilities":766,"status":116,"expiryDate":26,"summary":767},"7880f2f5-dd8e-486f-9b7b-20e20329679c","Technical Program Manager",[751,752,753,754,755,756,757],"Program Manager","Project Manager","Product Program Manager","Technical Project Manager","Delivery Manager","Engineering Program Manager","Agile Program Manager","technical-program-manager-7880f2f5-dd8e-486f-9b7b-20e20329679c","Location Type: Remote\n\nEmployment Type: FullTime\n\n\u003Cp style=\"min-height:1.5em\">Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is seeking a TPM to help us coordinate projects, both internal and customer facing.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What you’ll do:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Provide software development project management + cross-functional coordination and communication to deliver outstanding products\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Understand business requirements and related context driving the software development to be able to prioritize projects and activities\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Interface with partners and customers to drive win-win outcomes\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Work closely with Software Engineers, Data Scientists, QA, and Product Managers and Customer facing teams to get high-quality products and features through the software lifecycle\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Manage project schedules and tracking ensuring cross-functional alignment and achievement of the desired outcomes\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Identify gaps and clearly communicate them to project stakeholders, follow-through until resolution\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Take responsibility for release schedules and milestones, keeping up a high velocity in a fast-paced environment.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What You Bring:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">You have 5+ years of experience as a TPM in a high-tech organization, and have a strong track record of facilitating enterprise level projects\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have 5+ years of experience in software product delivery\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience and expertise in customer/partner communication\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You enjoy taking the initiative and owning projects from start to finish\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You can build positive relationships based on trust and value delivered\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You can communicate effectively and bring strong process, project management and decision-making/facilitating skills\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You are a critical thinker who can be strategic without losing the attention to detail\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Employment Opportunity at Machinify\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. \u003C/p>\u003Cp style=\"min-height:1.5em\">See our Candidate Privacy Notice at: \u003Ca target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.machinify.com/candidate-privacy-notice/\">https://www.machinify.com/candidate-privacy-notice/\u003C/a>\u003C/p>","https://jobs.ashbyhq.com/machinify/0eefeda2-3b3b-4845-9cdb-64c7a8c917a8",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[763],{"city":30,"region":31,"country":32},"2025-10-08T07:22:03.101Z","- 5+ years of experience as a TPM in a high-tech organization, and have a strong track record of facilitating enterprise level projects\n- 5+ years of experience in software product delivery\n- Experience and expertise in customer/partner communication\n- You enjoy taking the initiative and owning projects from start to finish\n- You can build positive relationships based on trust and value delivered\n- You can communicate effectively and bring strong process, project management and decision-making/facilitating skills\n- You are a critical thinker who can be strategic without losing the attention to detail","- Provide software development project management + cross-functional coordination and communication to deliver outstanding products\n- Understand business requirements and related context driving the software development to be able to prioritize projects and activities\n- Interface with partners and customers to drive win-win outcomes\n- Work closely with Software Engineers, Data Scientists, QA, and Product Managers and Customer facing teams to get high-quality products and features through the software lifecycle\n- Manage project schedules and tracking ensuring cross-functional alignment and achievement of the desired outcomes\n- Identify gaps and clearly communicate them to project stakeholders, follow-through until resolution\n- Take responsibility for release schedules and milestones, keeping up a high velocity in a fast-paced environment",{"employment":768,"compensation":770,"experience":772,"visaSponsorship":775,"location":776,"skills":777,"industries":783},{"type":769},{"id":120,"name":121,"description":232},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":125,"details":771},"Base salary with potential bonuses.",{"experienceLevels":773},[774],{"id":180,"name":181,"description":237},{"type":11},{"type":11},[693,778,779,780,742,781,782,405],"Cross-functional Coordination","Communication","Software Development","Release Management","Scheduling",[784,785],{"id":78,"name":77},{"id":252,"name":253},["Reactive",787],{"$ssite-config":788},{"env":789,"name":790,"url":791},"production","nuxt-app","https://jobo.world",["Set"],["ShallowReactive",794],{"company-Machinify":-1,"company-jobs-678ea07d-17e0-4309-963f-a381ee5afa53-carousel":-1},"/company/Machinify",{}]