Luminate: Director of Data Partnerships

🏢 Summary: Senior-level Staff Data Scientist role focused on leading enterprise-scale analytics, AI, forecasting, experimentation, and optimization initiatives in a regulated pharmaceutical environment. The position drives data-driven strategy, develops scalable analytical solutions, and partners with leadership to improve operational performance and decision-making. 🗂️ Requirements: 8+ years in data science, analytics, statistics, operations research, or related quantitative field, Bachelor's degree in Statistics, Data Science, Applied Mathematics, Economics, Computer Science, Engineering, or related discipline, Advanced proficiency in Python, Advanced proficiency in SQL, Experience with forecasting, experimentation, optimization, and causal inference, Experience leading large-scale or cross-functional data science initiatives, Knowledge of AI and machine learning techniques, Experience with modern data platforms, Ability to design KPIs and measurement frameworks, Strong executive communication and stakeholder collaboration skills 📃 Skills: Python, SQL, AI, MachineLearning, Forecasting, Experimentation, Optimization, CausalInference, Snowflake, AWS, Azure, Statistics, Analytics, KPIs 🏢 Description: Position Summary: The Staff Data Scientist drives enterprise impact by translating complex data into scalable, decision-ready intelligence that accelerates growth, improves quality, and optimizes regulated operations. This role owns end-to-end data science initiatives across functions, shaping strategy, execution, and measurable outcomes while influencing senior leadership decisions. Leveraging AI as a force multiplier, the role increases speed, scale, and precision of insights, enabling superior forecasting, experimentation, and optimization. Operating within a hyper-growth 503A/503B environment, this position ensures compliant, high-quality, and auditable analytics at scale. The role demonstrates exceptional strategic thinking, rigorous execution, and rapid learning agility to navigate ambiguity, challenge assumptions, and continuously elevate enterprise data science capabilities and business performance. Responsibilities: Enterprise Data Science - Strategic Ownership: Lead high-impact, cross-functional data science initiatives from problem framing through deployment, ensuring alignment with enterprise priorities and delivering measurable business outcomes. - Solution Design: Design advanced analytical models, experimentation frameworks, and optimization strategies that translate ambiguous business challenges into structured, high-value solutions. - Impact Delivery: Embed data science into operational workflows, ensuring solutions are actionable, interpretable, sustainable, and continuously improved through feedback loops, monitoring, and AI-enabled automation. Advanced Analytics Execution - Model Development: Develop and deploy sophisticated models, including forecasting, causal inference, and optimization, ensuring technical rigor and business relevance. - Experimentation Design: Establish robust experimentation and measurement frameworks, defining KPIs and success criteria that enable confident, data-driven decisions. - Data Utilization: Transform complex datasets into high-quality analytical assets, ensuring data integrity, governance, and usability while applying AI-driven feature engineering and data processing techniques. Stakeholder Influence and Innovation - Executive Partnership: Partner with senior leaders to identify opportunities, challenge assumptions, and shape data-driven strategies that align with business objectives and regulatory expectations. - Insight Communication: Communicate complex analytical results through compelling narratives and visualizations, ensuring clarity, trust, and adoption. - Capability Building: Elevate organizational data science maturity by mentoring peers, promoting best practices, and introducing innovative methodologies and AI capabilities. Knowledge and Skills: - Advanced expertise in Python, SQL, and modern data platforms, with strong capabilities in forecasting, experimentation, optimization, and causal inference. - Deep understanding of AI and machine learning techniques and their application to improve speed, scale, decision quality, and automation within complex, regulated environments. - Strong business acumen with the ability to translate ambiguity into structured analytical approaches and communicate insights effectively to executive stakeholders. - Proficiency in designing KPIs, measurement frameworks, and scalable analytics solutions that ensure data integrity, governance, and operational impact. Experience and Qualifications: - Minimum of 8 years of experience in data science, advanced analytics, statistics, operations research, or a related quantitative field, including ownership of large-scale or cross-functional initiatives. - Bachelor's degree in Statistics, Data Science, Applied Mathematics, Economics, Computer Science, Engineering, or a related discipline required; master's degree preferred; PhD is a plus. - Strong strategic thinking, executive communication, cross-functional collaboration, stakeholder influence, and the ability to solve complex problems in ambiguous environments. - Deep technical expertise in Python, SQL, experimentation, causal inference, forecasting, optimization, KPI and measurement framework design, decision-support analytics, and modern data platforms such as Snowflake, AWS, and Microsoft Azure. - Preferred certification in statistics, experimentation, forecasting, optimization, causal inference, or a related analytical discipline. Key Competencies: - Customer Focus: Builds trust through customer-centric solutions. - Strategic AI: Guides responsible AI adoption and adaptation. - Optimizes Work Processes: Drives efficiency with continuous improvement. - Collaborates: Partners effectively to achieve shared goals. - Resourcefulness: Secures and deploys resources efficiently. - Manages Complexity: Simplifies and solves complex challenges. - Ensures Accountability: Delivers on commitments with integrity. - Situational Adaptability: Adjusts approach to shifting conditions. - Communicates Effectively: Tailors messages to diverse audiences. Values: - People: Empowering people defines who we are. - Quality: Excellence in every product, every time. - Service: Serving others is our highest purpose. - Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Senior Product Manager role focused on building and scaling a device data and performance platform for solar, battery, HVAC, and other clean energy assets. The position owns OEM integrations, data architecture, monitoring and alerting systems, and cross-functional platform strategy to support operations, field service, and consumer-facing energy insights. The role requires strong product management experience with data platforms, hardware-connected systems, and technical integrations in a fast-evolving clean energy environment. 🗂️ Requirements: 7+ years of product management experience, Experience managing external integrations or data platforms, Experience with IoT or hardware-connected systems, Track record owning integration roadmaps, Experience working with monitoring or alerting products, SQL proficiency or equivalent data tool experience, Strong project management skills, Ability to define product strategy and roadmap, Experience collaborating with cross-functional stakeholders, Strong written and verbal communication skills, Curiosity about energy hardware and data pipelines, Comfort working in ambiguous, fast-evolving environments 📃 Skills: SQL, API, IoT, AI, HVAC, Solar, Batteries, Webhooks, Data, Monitoring, Alerting, Analytics 🏢 Description: Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. Our technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through scalable solutions. We offer software, financial products, and services that support whole home electrification. Our employees are our most valuable resource. Palmetto offers benefits including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more. Reporting This position will report to the Principal Product Manager. Summary of Role Palmetto's device data and performance platform is the system of record for tracking, understanding, and optimizing the performance of solar, battery, and emerging clean energy assets in the field. As the Senior Product Manager for Device Data & Performance, you will own the strategic direction of a platform serving internal business units, field technicians, OEM partners, financial stakeholders, and homeowners. This role involves defining how Palmetto connects with hardware manufacturers through integration partnerships, shaping data models for performance monitoring and alerting, and building workflows for field service and asset management teams. The role requires strategic vision, execution skills, and technical curiosity around hardware systems. You will collaborate across Asset Management, Field Service, Operations, Customer Support, Finance, and Engineering. Strategic & Tactical Data Ingestion & OEM Integration Architecture - Own the strategy for ingesting device data from OEM partners including solar inverters, batteries, HVAC systems, and emerging asset types. - Develop expertise in push vs. pull integration patterns, including scheduled API polling, webhooks, and direct data feeds. - Lead integration negotiations related to data access terms, rate limits, signal coverage, and SLA commitments. - Build scalable integration frameworks that simplify onboarding new OEMs. Data Transformation & Platform Schema - Own the data transformation layer and normalize heterogeneous device signals into consistent schemas. - Design and maintain standardized data models and API response contracts. - Partner with engineering to optimize pipeline reliability, ingestion latency, and data quality. - Define and enforce data quality standards, SLAs, and alerting thresholds. Platform Empowerment & Self-Service - Establish contribution patterns, documentation standards, and platform guardrails. - Build self-service capabilities for querying, filtering, and acting on device data. - Promote standardized responses, service contracts, and shared tooling. - Drive adoption of platform standards across internal stakeholders. Performance Monitoring & Alerting - Define monitoring standards for solar and battery performance. - Evolve alerting logic toward production-based and outcome-driven alerting. - Expand monitoring coverage for new asset types including HVAC systems and future electrification products. Consumer-Facing Data & Energy Transparency - Own how device data is presented to homeowners. - Define presentation of production and consumption energy data. - Partner with Consumer Experience and Customer Support teams to ensure data quality and transparency. Roadmap, Planning & Execution - Own product strategy, OKRs, roadmap, and quarterly planning. - Use AI to accelerate discovery, learning cycles, and productivity. - Run delivery cycles with engineering teams and foster transparency and accountability. - Manage stakeholder expectations through clear communication. Qualifications - 7+ years of product management experience, ideally with external integrations, data platforms, or IoT/hardware-connected systems. - Demonstrated experience owning integration roadmaps and working with external vendors. - Experience with monitoring, alerting, or operational intelligence products. - Background in energy, clean tech, or hardware-adjacent industries is a plus. - Strong strategic thinking and ability to define long-term platform direction. - Strong project management and cross-functional coordination skills. - Data fluency and SQL proficiency or equivalent experience. - Excellent written and verbal communication skills. - Collaborative mindset and relationship-building abilities. - Entrepreneurial mindset and comfort with ambiguity. - Bias for action and accountability. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment decisions are based on qualifications, merit, and business need.

🏢 Summary: Senior Product Manager role focused on building and scaling a device data and performance platform for solar, battery, HVAC, and clean energy assets. The position owns OEM integrations, data architecture, monitoring systems, and cross-functional platform strategy while driving operational insights and consumer-facing energy transparency. The role combines product leadership, IoT/data platform expertise, and collaboration across engineering, operations, finance, and customer-facing teams. 🗂️ Requirements: 7+ years of product management experience, Experience managing external integrations or IoT/hardware-connected systems, Experience owning integration roadmaps, Experience working with monitoring or alerting platforms, SQL proficiency or equivalent data tool experience, Strong project management skills, Strong written and verbal communication skills, Ability to manage cross-functional stakeholders, Experience defining product strategy and roadmaps, Comfort working with ambiguity and fast-evolving platforms 📃 Skills: SQL, API, IoT, AI, HVAC, Webhooks, SLA, OEM 🏢 Description: Summary of Role Palmetto's device data and performance platform is the system of record for how we track, understand, and optimize the performance of hundreds of thousands of solar, battery, and emerging clean energy assets in the field. As the Senior Product Manager for Device Data & Performance, you will own the strategic direction of a platform that sits at the center of operations, serving internal business units, field technicians, OEM partners, financial stakeholders, and homeowners. This is a uniquely cross-functional role. You will define how the company connects with hardware manufacturers through integration partnerships, shape the data models that power performance monitoring and alerting, and build the workflows that enable field service and asset management teams to act on what the data reveals. The platform is still being shaped, offering significant ownership and the opportunity to define its future direction. You will collaborate across Asset Management, Field Service, Operations, Customer Support, Finance, and Engineering. Strategic & Tactical Data Ingestion & OEM Integration Architecture - Own the strategy for ingesting device data from solar inverters, batteries, HVAC systems, and emerging asset types. - Define push vs. pull integration patterns including polling manufacturer APIs, receiving real-time webhooks, and negotiating direct data feed agreements. - Lead integration negotiations related to data access terms, rate limits, signal coverage, and SLA commitments. - Build scalable integration frameworks to streamline onboarding of new OEM partners. Data Transformation & Platform Schema - Define how raw device signals are normalized into a clean and consistent schema. - Design and maintain standardized data models and API response contracts. - Partner with engineering to optimize pipeline reliability, ingestion latency, and data quality. - Define and enforce data quality standards, SLAs, and alerting thresholds. Platform Empowerment & Self-Service - Establish contribution patterns, documentation standards, and platform guardrails. - Build self-service capabilities that enable teams to query, filter, and act on device data through interfaces and APIs. - Promote standardized responses, clear service contracts, and shared tooling. - Drive adoption of platform standards across internal stakeholders. Performance Monitoring & Alerting - Define monitoring standards for solar and battery performance. - Improve alerting logic to reduce false positives and improve operational workflows. - Expand monitoring coverage for new asset types including HVAC systems and future electrification products. Consumer-Facing Data & Energy Transparency - Define how device data is presented to homeowners. - Ensure production and consumption data are surfaced together for clear energy visibility. - Partner with Consumer Experience and Customer Support teams to support trust and clarity through data quality and platform decisions. Roadmap, Planning & Execution - Own product strategy, OKRs, roadmap, and quarterly planning. - Use AI tools to accelerate discovery and improve productivity. - Run delivery cycles with engineering teams and maintain transparency and accountability. - Manage stakeholder expectations with concise written communication. Qualifications - 7+ years of product management experience in integrations, data platforms, or IoT/hardware-connected systems. - Experience owning integration roadmaps and working with external vendors or partners. - Experience with monitoring, alerting, or operational intelligence products. - Background in energy, clean tech, or hardware-adjacent industries is preferred. - Ability to define long-term strategy and detailed sprint requirements. - Strong project management and cross-functional coordination skills. - Data fluency and SQL proficiency or equivalent experience. - Strong communication and stakeholder management abilities. - Curiosity about hardware systems, data pipelines, and alerting logic. - Entrepreneurial mindset and comfort working in ambiguous environments. Benefits - Unlimited PTO - Medical, dental, and vision coverage - Paid parental leave - Retirement plans Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment decisions are based on qualifications, merit, and business need.

🏢 Summary: Senior Product Manager role focused on building and scaling a device data and performance platform for solar, battery, HVAC, and clean energy assets. The position leads OEM integrations, data architecture, monitoring systems, and cross-functional platform strategy to support operations, field services, and consumer-facing energy insights. The role requires strong product management expertise in data platforms, IoT-connected systems, and integration workflows within a fast-evolving clean energy environment. 🗂️ Requirements: 7+ years of product management experience, Experience managing external integrations and data platforms, Experience with IoT or hardware-connected systems, Experience owning integration roadmaps, Experience working with vendors and external partners, Experience with monitoring or alerting products, SQL proficiency or equivalent data tool experience, Strong project management skills, Ability to manage cross-functional stakeholders, Strong written and verbal communication skills, Ability to define product strategy and roadmap, Comfort working in ambiguous, fast-changing environments, Curiosity about hardware systems and data pipelines 📃 Skills: SQL, API, IoT, AI, Webhooks, SLA, HVAC, Solar, Batteries, Data, Monitoring, Alerting 🏢 Description: Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. We deliver end-to-end solutions for whole home electrification. Our employees are our most valuable resource. Palmetto offers a comprehensive benefits package including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more. Reporting This position will report to the Principal Product Manager. Summary of Role Palmetto's device data and performance platform is the system of record for tracking, understanding, and optimizing the performance of solar, battery, and clean energy assets in the field. As the Senior Product Manager for Device Data & Performance, you will own the strategic direction of a platform serving internal business units, field technicians, OEM partners, financial stakeholders, and homeowners. This cross-functional role includes defining hardware manufacturer integrations, shaping data models for performance monitoring and alerting, and building workflows for field service and asset management teams. The role involves strategic ownership, execution, and deep engagement with hardware systems including solar inverters, batteries, HVAC systems, and future energy-efficient assets. Strategic & Tactical Data Ingestion & OEM Integration Architecture - Own the strategy for ingesting device data from OEM partners including solar inverters, batteries, HVAC systems, and emerging asset types. - Develop expertise in push vs. pull integration patterns, including APIs, scheduled polling, webhooks, and direct data feeds. - Lead integration negotiations related to data access terms, rate limits, signal coverage, and SLA commitments. - Build scalable integration frameworks that simplify onboarding of new OEMs. Data Transformation & Platform Schema - Define how raw device signals are normalized into consistent schemas. - Design and maintain standardized data models and API response contracts. - Partner with engineering to optimize reliability, latency, and data quality. - Define and enforce data quality standards, SLAs, and alerting thresholds. Platform Empowerment & Self-Service - Establish contribution patterns, documentation standards, and platform guardrails. - Build self-service capabilities for data access through interfaces and APIs. - Promote standardized responses, clear service contracts, and shared tooling. - Drive adoption of platform standards across internal stakeholders. Performance Monitoring & Alerting - Define monitoring standards for solar and battery performance. - Improve alerting logic to reduce false positives and improve operational workflows. - Expand monitoring coverage for new asset classes including HVAC systems and electrification products. Consumer-Facing Data & Energy Transparency - Define how device and energy data is presented to homeowners. - Partner with consumer and support teams to improve trust, clarity, and user experience. Roadmap, Planning & Execution - Own product strategy, OKRs, roadmap, and quarterly planning. - Use AI tools to improve discovery, productivity, and platform insights. - Manage delivery cycles with engineering teams. - Communicate clearly with stakeholders and manage expectations. Qualifications - 7+ years of product management experience. - Experience managing external integrations, data platforms, or IoT/hardware-connected systems. - Demonstrated ownership of integration roadmaps and vendor relationships. - Experience with monitoring, alerting, or operational intelligence products. - Background in energy, clean tech, or hardware-adjacent industries is a plus. - Strong strategic thinking and execution skills. - Strong project management and cross-functional collaboration skills. - Data fluency with SQL proficiency or equivalent. - Excellent written and verbal communication skills. - Entrepreneurial mindset and comfort with ambiguity. - Bias for action and accountability. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment decisions are based on qualifications, merit, and business need.

🏢 Summary: The role focuses on managing end-to-end data management and dashboarding for Digital Reality applications, ensuring accurate reporting and operational performance monitoring. It involves developing KPIs, building Power BI dashboards, integrating systems, and automating processes using scripting and APIs. The position also supports system enhancements, compliance, documentation, and user training in a cross-functional environment. 🗂️ Requirements: MCA or Bachelor's degree in Computer Science or Electronics, 3–4 years of relevant experience in data management or application support, Proficiency in Python, Proficiency in HTML, Proficiency in MySQL, Expertise in Power BI including data modeling and DAX, Experience with scripting and APIs for automation, Knowledge of IT infrastructure and cloud systems, Strong analytical and problem-solving skills, Ability to document issues and provide technical documentation 📃 Skills: Python, HTML, MySQL, PowerBI, DAX, VSCode, APIs, Azure, DevOps, ServiceNow, ITIL 🏢 Description: Summary: This role focuses on managing the data and dashboards for Digital Reality applications. The primary goal is to ensure effective data management, system integration, and reporting for operational performance within the organization. Responsibilities: Manage end-to-end data management and dashboarding, ensuring accuracy and relevance. Develop KPIs and dashboards to monitor operations and user data effectively. Collaborate with cross-functional teams to streamline operations. Track technological advancements and suggest system enhancements. Ensure compliance with internal policies and industry standards. Document issues and propose resolutions to management. Provide training to users regarding systems and equipment. Analyze and refine processes to improve service delivery. Must Haves: MCA or Bachelor's degree in Computer Science or Electronics. 3-4 years of relevant experience. Proficiency in Python, HTML, MySQL, and tools like Visual Studio Code & Power BI. Expertise in Power BI, particularly in data modeling and DAX. Strong analytical and problem-solving skills. Knowledge of IT infrastructure and cloud systems. Experience in scripting and using APIs for automation. Excellent communication and documentation skills. Nice to Haves: Familiarity with Azure and DevOps. Knowledge of Service Now as a service management tool. ITIL v4 Certification. Other Details: Location: Not specified. Team Structure: Involves collaboration with cross-functional teams. Reporting Lines: Not specified; likely involves stakeholder interaction. Tools/Methodologies: Focus on Power BI and software development tools. Reason (Must Have): MCA or Bachelor's degree: Required to ensure a foundational understanding of computer science principles relevant to the data management tasks. 3-4 years experience: Ensures the candidate has enough hands-on experience dealing with the complexities involved in data management and application support. Python and Power BI Proficiency: Essential for developing effective dashboards and automating reporting processes, directly linking to KPIs and operational monitoring. Analytical skills: Critical for problem-solving within system integration and performance tracking responsibilities. Reason (Nice to Have): Knowledge of Azure & DevOps: Provides a competitive edge for managing cloud applications, enhancing operational performance and flexibility. Service Now knowledge: Beneficial for managing service requests and incidents, facilitating smoother operational support. ITIL Certification: Indicates an understanding of service management best practices, adding value to process improvement aligned with industry standards. Trust Score: Score: High Evidence: The description is clear, with detailed responsibilities and specific technologies outlined, allowing for effective candidate sourcing.Sourcing Guidance / Clarifications Needed:The job description provides good technical clarity for sourcing. Consider these potential recommendations to enhance the search: Recommendation: Look for candidates with experience in data analytics alongside Python and Power BI . Rationale: This combination is often necessary for roles focused on data-driven decision-making and system integration. Recommendation: Identify candidates from industries heavily investing in cloud technologies or software development . Rationale: These sectors likely have professionals with relevant skills and experience related to the cloud-based aspects of this role. Recommendation: Consider profiles with prior experience in IT service management roles. Rationale: These candidates will have familiarity with operational processes that align with managing SRs and incidents, enhancing overall performance in Digital Reality applications.

🏢 Summary: Staff Software Engineer role focused on owning and evolving billing, payments, and invoicing systems for a high-scale revenue platform processing tens of millions in monthly transactions. The position drives technical architecture, payment integrations, financial correctness, and compliance while partnering with finance and operations teams. You will design resilient distributed revenue systems that ensure transaction integrity, scalability, and auditability. 🗂️ Requirements: 8+ years engineering experience building revenue or payment systems, Proven design of distributed financial systems handling edge cases and transaction integrity, Strong expertise in databases and financial data management, Production experience integrating payment gateways (e.g., Stripe, PayPal), Experience with compliance standards such as PCI-DSS, Ability to design audit logging, reconciliation, and financial reporting systems, Advanced proficiency in Java and JVM internals, Experience using AI-assisted development tools in production codebases, Must be local to Seattle area 📃 Skills: Java, Scala, TypeScript, React, MySQL, PostgreSQL, Snowflake, AWS, Stripe, PayPal, PCI-DSS, Git, GitHub, Datadog, Copilot, Claude, JVM 🏢 Description: Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth. As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient. What you’ll do Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for Design and implement resilient payment processing with support for multiple payment gateways (Stripe, etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack What we’re looking for 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD), MCP/skills optimization, context/prompt engineering Local to the Seattle area While not required, these are a plus BS or MS in Computer Science or a relevant engineering discipline Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition. Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

🏢 Summary: The role involves leading the design and optimization of intelligent search systems powered by machine learning to build advanced retrieval pipelines for an enterprise AI platform. You will develop query understanding, learning-to-rank models, entity recognition pipelines, and scalable search infrastructure to support real-time, large-scale data environments. The position focuses on improving search relevance through statistical and neural methods while influencing architecture and evaluation frameworks. 🗂️ Requirements: Bachelor’s/Master’s/PhD in Statistics, Mathematics, Computer Science or related quantitative field, 7+ years backend engineering experience, 3+ years experience in search or information retrieval, Strong proficiency in Python, Hands-on experience with OpenSearch or Elasticsearch, Strong knowledge of information retrieval methods (TF-IDF, BM25), Experience with neural search techniques and vector embeddings, Experience with NLP and text processing, Experience with relevance evaluation metrics (NDCG, MRR, MAP), Experience with large-scale distributed systems 📃 Skills: Python, OpenSearch, Elasticsearch, TF-IDF, BM25, NLP, NDCG, MRR, MAP, Embeddings, Transformers, KnowledgeGraphs, DistributedSystems 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. In this role, you will also be responsible for: Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning Collaborate with product and applied research teams to translate user needs into data-informed search innovations Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack Requirements Qualifications / Experience / Technical Skills Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields Strong proficiency in Python Hands-on experience with search engines (Opensearch or Elasticsearch) Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models) Experience with text processing, NLP, and relevance tuning Experience with relevance evaluation metrics (NDCG, MRR, MAP) Experience with large-scale distributed systems Proficiency in Knowledge Graph construction and optimization is a plus Strong analytical and problem-solving skills Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional teamwork Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2472)

🏢 Summary: The role involves designing and developing scalable, distributed systems using Nest.js and modern cloud technologies, with a strong focus on architecture quality, performance, and reliability. You will build and optimize services and data workflows in a microservices environment, collaborating with international teams on long-term projects. The position emphasizes high code quality, testing, and continuous improvement in Azure-based environments. 🗂️ Requirements: 3+ years commercial experience as Software Developer, Strong proficiency in Nest.js, Strong knowledge of SQL (Postgres), Experience with Prisma ORM, Experience with GraphQL, Ability to design horizontally scalable and resilient systems, Knowledge of sync and async communication patterns, Understanding of reliability mechanisms (idempotency, retries), Experience with caching mechanisms, Ability to optimize code and SQL queries, Experience with Azure cloud services, Experience with distributed system design, Understanding of microservices architecture principles 📃 Skills: NestJS, SQL, Postgres, Prisma, GraphQL, Azure, Microservices, Kubernetes, Grafana, Redis, ORM, Caching 🏢 Description: Job Description WHO WE ARE: Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song . At Accenture Song , the combination of your ideas and the latest technologies has a chance to result in fascinating solutions. If these goals reflect your ambitions, this is your chance to stand out and face our challenges in the best way. For more information about Accenture Song Poland please visit our website . THE WORK: Build modern, scalable solutions in a distributed environment using cutting-edge technologies, dedicated to ongoing improvement and ensuring high standards. Design and implement services and data workflows, constantly seeking innovation and efficiency. Ensure the quality of the solution, both in terms of architecture and code quality, including testing and performance tuning, committed to constant progress. Collaborate with international teams and stakeholders, embracing new opportunities and proactive in skill enhancement. Participate in internal initiatives and projects, enthusiastic about professional growth and adaptable to evolving needs. WHAT’S IN IT FOR YOU: Influence the use of cutting-edge tools, shaping project direction, embracing challenges as opportunities with your expertise and insights Be part of stable, long-term projects, ensuring your efforts contribute to lasting impact and growth . Enjoy a transparent career trajectory from the start, with defined opportunities for advancement and skill development, empowering you to reach your professional goals effectively. Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Qualifications HERE’S WHAT YOU WILL NEED: 3+ year of commercial experience as a Software Developer. Strong proficiency in Nest.js , with solid knowledge of SQL (Postgres), ORM (Prisma) and GraphQL . Ability to build systems that scale horizontally and remain resilient under load. Familiarity with communication patterns (sync/async), reliability mechanisms (idempotency, retries), caching. Knowledge how to optimize code execution and SQL queries. Experience with Azure cloud services and distributed system design. Understanding of microservice architecture principles. A passion for tackling challenges and delivering elegant solutions to intricate technical problems is highly valued. Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application. BONUS POINTS IF YOU HAVE: Knowledge of Kubernetes. Experience with Grafana. Experience with Redis. Experience with queue-based/event-driven development. WHAT WE OFFER? Permanent employment contract. Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach. A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification). Employee Assistance Program - legal, financial, and psychological consultations. Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares. Paid employee referral program. Private medical care, life insurance. Access to the WorkSmile platform (possibility of using a wide range of products and services, including the Multisport card). WHAT WE BELIEVE: Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with. Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy

🏢 Summary: Staff Product Manager for Developer Platforms responsible for defining and executing the strategy for AI and LLM-focused developer products, owning the end-to-end developer experience from APIs to production-scale agent systems. The role drives vision, roadmap, and adoption of developer tools, APIs, and extensibility frameworks, partnering closely with engineering to deliver scalable AI-powered automation solutions. Focused on developer ergonomics, platform scalability, and AI-driven workflows in a competitive market. 🗂️ Requirements: 7+ years in product management, Experience owning developer-facing products end-to-end, Experience building or managing APIs, SDKs, or CLIs, Experience driving external developer adoption, Ability to define product vision and roadmap for developer platforms, Experience collaborating closely with engineering on system design and scalability, Familiarity with AI/LLM or agent-based development workflows, Experience creating PRDs and technical specifications, Experience analyzing product metrics and adoption funnels 📃 Skills: APIs, SDKs, CLIs, LLM, AI, LangChain, LlamaIndex, MLOps, CI/CD, IDE, Agentic, Orchestration, Automation, Integration 🏢 Description: About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers We’re looking for a Staff Product Manager for Developer Platforms who doesn’t just ship features—but defines what should exist in the first place. This role owns the end-to-end experience for developers building on Workato: from first API call to production-scale agent systems. This is not a roadmap execution role. You will define the platform strategy, make hard tradeoffs, and build a product that developers choose in a competitive market. Responsibilities We are seeking a strategic Staff Product Manager to lead our developer-facing products for LLM and Agentic applications. In this pivotal role, you will be the bridge between our developers, our business goals, and our engineering teams, driving the vision and execution of next-generation AI-powered automation and integration tools on the Workato platform. You will be responsible for the entire product lifecycle, from identifying market opportunities and defining the product vision to working with engineering to deliver solutions that empower developers. This role requires someone who has successfully built and shipped developer products before, with a deep understanding of developer ergonomics and an instinct for what separates good developer tools from truly exceptional ones. This is a critical role for someone with a proven track record in developer experience, a strong understanding of the AI landscape, and the ability to translate complex technical capabilities into tangible business value. You should know what great developer tools look and feel like because you've built them yourself. You will also be responsible to: Define and champion the product vision, strategy, and roadmap for Workato's AI and LLM-focused developer products. Partner closely with engineering, design, marketing, and sales to deliver exceptional AI products and drive go-to-market success. Build deep insights into developer workflows, needs, and pain points through direct customer engagement, user research, and community feedback. Transform developer insights and business requirements into actionable PRDs, user stories, and technical specifications. Own the product backlog and feature prioritization, making data-driven decisions that balance immediate developer needs with long-term platform vision. Lead competitive intelligence and market analysis to identify emerging trends and ensure Workato stays ahead in AI developer tooling. Champion the product vision both internally and externally, engaging with developer communities, conferences, and key technical stakeholders. Establish and monitor key product metrics including developer satisfaction, API adoption, and platform engagement to drive continuous improvement. Drive developer adoption metrics and optimize onboarding experiences to reduce time-to-first-value. Requirements Qualifications / Experience / Technical Skills 7+ years in product management, including owning a developer-facing product or platform end-to-end—from defining the vision to shipping and iterating Strong product instincts for developer platforms, with a clear point of view on what differentiates winning products (DX, capabilities, ecosystem, distribution) Experience driving adoption with external developers, including improving key stages of the funnel: discover → try → activate → scale Hands-on experience building or managing APIs, SDKs, CLIs, or extensibility frameworks, with an understanding of how these impact real developer workflows Demonstrated developer empathy, grounded in observing and improving real workflows (e.g., working with APIs, CI/CD, logs, IDEs) Comfortable going deep with engineering on system design and tradeoffs, including constraints, scalability, and abstraction decisions Familiarity with modern AI/LLM or agent-based development workflows (e.g., orchestration, prompt iteration, evaluation, observability) Awareness of how developer workflows are evolving (AI copilots, APIs-first development, faster iteration cycles), with a perspective on where things are headed Nice to Have Hands-on experience building or using LLM-powered applications and familiarity with AI frameworks like LangChain, LlamaIndex, or similar. Experience with integration, automation, or MLOps platforms. Active participation in developer communities through writing, speaking, or open-source contributions. Soft Skills / Personal Characteristics You are a strategic thinker who can connect technology with business impact and craft a compelling product narrative. You have excellent leadership and communication skills, with the ability to influence and align cross-functional teams. You are comfortable with ambiguity and rapid iteration, thriving in fast-paced, innovative environments. (REQ ID: 2249)

🏢 Summary: Remote Product Strategy Manager role focused on defining medium-term product strategy, market intelligence, monetization, and global localization initiatives for a hospitality SaaS platform. The position requires strong strategic, analytical, and pricing expertise to guide autonomous product engineering teams and drive growth across global markets. 🗂️ Requirements: 5+ years of experience in Product Strategy, Management Consulting, or Corporate Strategy, Experience in global tech or SaaS environments, Proven experience with pricing, packaging, revenue models, or growth funnel optimization, Experience scaling products across AMER, EMEA, APAC, or LATAM regions, Strong financial modeling skills, Ability to analyze complex datasets for product insights, Residence within the greater Atlanta or Austin area 📃 Skills: SaaS, AI, FinancialModeling, Analytics, MarketResearch, Localization, Pricing, Monetization, GoogleMeet 🏢 Description: Revinate is proud to be a Great Place To Work Certified company! This is a remote position, but candidates must reside within the greater Atlanta or Austin area. Company Overview Revinate is a direct booking platform that leads the hospitality industry in driving direct revenue and increased profitability. Our products and our people combine to give hoteliers the superpowers they need to crush their goals. With Revinate, hoteliers shift share away from OTAs and drive tangible results across an individual property or a portfolio. Our industry-leading, AI-powered, customer data platform collects, unifies, and synthesizes data giving hoteliers a foundational advantage. Hoteliers gain critical intelligence – guest lifetime spend, stay preferences, ancillary revenue, and more. With Revinate’s Rich Guest Profile® data points, hoteliers don’t need to guess who their most profitable guests are, or how to drive conversions across email, voice, messaging, and digital channels. Revinate's direct booking platform and omnichannel communication technology powers 1.1 billion Rich Guest Profiles across 12,500+ hotels to drive over $24 billion in direct revenue. Role Overview “Skate where the puck is going”. Forget managing daily standups and writing granular user stories. As a Product Strategy Manager, your job is to behave like an internal CEO for your product line. You own the six to 12 month product horizon. You will spend your time deeply analyzing market dynamics, studying competitor traps, defining our strict ICP, and generating the macro strategic themes that autonomous Product Engineering teams will bring to life. What You’ll Do - Conduct qualitative and quantitative market research to identify market gaps, competitor vulnerabilities, and emerging buyer needs - Deliver strategic briefs to Product Engineering outlining business problems and boundaries - Own and publish messaging playbooks and ICP frameworks - Manage feature retirement, regional compliance boundaries, and localized packaging adjustments - Define and communicate the medium-term product strategy roadmap - Evaluate regional market dynamics and user behaviors for global localization strategies - Model business cases for new product initiatives using user data, market research, and competitive intelligence What You’ll Bring - 5+ years of experience in Product Strategy, Management Consulting, or Corporate Strategy - Experience within a global tech or SaaS environment - Proven track record with pricing, packaging strategies, revenue models, or growth funnels - Ability to think strategically while understanding execution constraints - Experience scaling products across multiple regions including AMER, EMEA, APAC, and LATAM - Strong financial modeling and analytical skills Benefits - Competitive health insurance options - Paid family and parental leave - Fertility treatment coverage options - Dental and vision benefits - 401(k) with employer match - Short and long-term disability insurance options - Life insurance options - Paid flex time off - Employee Assistance Program - Monthly work from home stipend - Telehealth access - Peloton benefits Interview Process - Recruiter screen via phone - Hiring manager interview via Google Meet AI and Hiring Interviews will be recorded using brighthire.ai. Candidates may opt out of interview recording if preferred.