Luminate: Director of Data Partnerships

🏢 Summary: Senior engineering role focused on building AI-native, containerized backend services and data infrastructure for clean energy systems. The position involves integrating multicloud data sources, enabling governed data access, supporting AI/ML workflows, and operating production-grade APIs and platforms. Candidates will work across backend engineering, data systems, infrastructure, and AI tooling in a fast-moving environment. 🗂️ Requirements: 6+ years building and operating production backend services or platforms, Strong Python expertise, Working knowledge of JavaScript, Working knowledge of TypeScript, Advanced SQL skills, Command-line proficiency, Experience building containerized microservices, Experience with FastAPI or NestJS, Experience with GraphQL or REST APIs, Cloud infrastructure experience, Experience with multicloud environments, Experience with Snowflake, Experience with dbt, Experience with Airflow, Knowledge of DuckDB or Iceberg, Authentication and authorization expertise, Experience with fine-grained authorization models, CI/CD experience, Observability and reliability engineering knowledge, Understanding of machine learning principles 📃 Skills: Python, JavaScript, TypeScript, SQL, Bash, Zsh, FastAPI, Pydantic, NestJS, Fastify, Zod, GraphQL, REST, Snowflake, dbt, Airflow, DuckDB, Iceberg, CI/CD, ReBAC, ABAC, MCP, Redis, Kubernetes, D3 🏢 Description: Palmetto is a clean tech company focused on accelerating the transition to renewable energy through software, financial products, and services. Location This position will be based in Charlotte, NC, Boston, MA or New York, NY. Reporting This position will report to the VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents, not just people reading dashboards. The mandate is to take what is cutting edge today and make it our table stakes. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling, and pick up whatever is next. Success means agent-first and machine-first stop being aspirations and become how Palmetto operates by default: services, teams, and AI agents get the data they need, governed and reliable, wherever the business goes next. Strategic & Tactical - Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems. - Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form. - Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement. - Design for machines first: expose data and capabilities to AI agents, services, and automated callers. - Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy. - Own services in production: CI/CD, observability, performance, reliability, and cost. - Act as a hands-on technical and solutions-engineering partner for internal teams and integrations. - Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: - Senior-level experience (typically 6+ years) building and operating production backend services or platforms. - Deep Python knowledge plus working JavaScript/TypeScript and SQL. - Experience shipping robust, containerized microservices using FastAPI with Pydantic or NestJS with Fastify and Zod. - Experience with GraphQL and/or REST APIs. - Cloud infrastructure and multicloud experience. - Experience with Snowflake, dbt, SQL, Airflow, DuckDB, Iceberg, or similar tooling. - Strong authentication and authorization knowledge. - Experience with CI/CD and observability. - Understanding of machine learning principles. - Strong communication and solutions engineering skills. Preferred: - Experience with data catalogs, metadata platforms, and governance. - Experience building or integrating AI-agent interfaces. - Experience with data visualizations and data apps. - Familiarity with Redis, secrets management, and Kubernetes. - Experience sourcing or licensing third-party datasets. - Interest in clean energy and home electrification. 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 engineering role focused on building AI-native, containerized backend services and data infrastructure for clean energy systems. The position involves integrating multicloud data sources, enabling governed access to data, supporting AI/ML workflows, and operating production-grade services and APIs. The role requires strong software engineering, platform engineering, and modern data stack expertise. 🗂️ Requirements: 6+ years building and operating production backend services or platforms, Strong Python expertise, JavaScript, TypeScript, SQL, Experience building containerized microservices, Experience with REST or GraphQL APIs, Cloud infrastructure experience, Experience with modern data stack tools, Authentication and authorization knowledge, CI/CD and observability experience, Understanding of machine learning principles, Command-line proficiency 📃 Skills: Python, JavaScript, TypeScript, SQL, FastAPI, Pydantic, NestJS, Fastify, Zod, GraphQL, REST, Snowflake, dbt, Airflow, DuckDB, Iceberg, CI/CD, DevOps, SRE, Redis, Kubernetes, Bash, zsh, MCP 🏢 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 that put clean energy within reach for all. 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 VP, Data Intelligence. Summary of Role Energy is one of the defining challenges and opportunities of our generation, and the companies that lead will be the ones that operationalize AI the fastest. Palmetto is building to be agent-first and machine-first: data, systems, and products designed for machines, models, and agents. We are looking for a versatile, senior engineer to help build the services and infrastructure that make this real. You will build robust, containerized services that make data across many systems discoverable, governed, and usable by people, applications, and AI agents, bring new data into that ecosystem, and integrate it for the teams that rely on it. This is a broad, hands-on role for someone who is fluent in data but is fundamentally a software and platform engineer, not a traditional data engineer focused on the warehouse. Priorities will shift as the business does, so we want someone who can move across services, data, infrastructure, governance, and AI tooling. Strategic & Tactical - Build and operate robust, containerized backend services and APIs (REST, GraphQL) that serve data from many systems. - Integrate heterogeneous, multicloud data sources, and find, ingest, transform, and wrangle new datasets into clean, usable form. - Build governed access to data: authentication, fine-grained authorization, audit, and policy enforcement. - Design for machines first: expose data and capabilities to AI agents, services, and automated callers. - Stand up and maintain metadata, cataloging, and lineage so data stays discoverable and trustworthy. - Own services in production: CI/CD, observability, performance, reliability, and cost. - Act as a hands-on technical and solutions-engineering partner for internal teams and integrations. - Support ML and AI workflows by making features and model outputs discoverable, governed, and servable. Qualifications Minimum: - Senior-level experience (typically 6+ years) building and operating production backend services or platforms. - Deep Python knowledge plus working JavaScript/TypeScript and SQL. - Proven track record shipping robust, containerized microservices using FastAPI with Pydantic or NestJS with Fastify and Zod. - Experience with GraphQL and/or REST APIs. - Cloud infrastructure experience, ideally multicloud. - Fluency with modern data stack tools including Snowflake, dbt, SQL, Airflow, DuckDB, and Iceberg. - Strong authentication and authorization knowledge. - DevOps and SRE sensibility including CI/CD and observability. - Understanding of machine learning principles. Preferred: - Experience with data catalogs or metadata platforms and data governance. - Experience building or integrating AI-agent interfaces. - Experience with data apps and visualizations. - Familiarity with Redis, secrets management, and Kubernetes. - Experience sourcing or licensing third-party datasets. - Interest in clean energy and home electrification. 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 is decided on the basis of qualifications, merit, and business need.

🏢 Summary: Senior client-facing role focused on real-world healthcare data strategy, research design, and consultative support for life sciences and government clients. The position involves leveraging claims, EMR, lab, and other healthcare datasets to guide research initiatives, deliver insights, and support pre-sales and client education activities. Candidates are expected to combine subject matter expertise in RWD/RWE with technical proficiency in SQL or Python and strong stakeholder collaboration skills. 🗂️ Requirements: Master's degree in epidemiology, public health, statistics, math, health economics, life sciences, or related clinical field, 3+ years in a consultative client-facing role, Experience participating in RFI/RFP responses and prospective client meetings, 5+ years designing and executing RWD, epidemiology, pharmacoepidemiology, HEOR, or RWE research projects, Experience applying real-world healthcare data to research use cases, Proficiency in SQL or Python, Expertise with healthcare data types including claims, EMR, labs, and patient-reported outcomes, Knowledge of healthcare coding standards, Ability to identify and mitigate project risks, Ability to travel up to 10% 📃 Skills: SQL, Python, EMR, HEOR, RWE, RWD, ICD, CPT, HCPCS, CVX, LOINC 🏢 Description: How you will help As a Director, Real World Data Insights you will provide exceptional healthcare data expertise throughout the contract/project lifecycle. You will translate client needs into data solutions, leveraging the largest healthcare data ecosystem in the US. Your clients and colleagues will rely on you for your real world data and evidence subject matter expertise, your deep understanding of the questions life science companies are asking, your strategic and consultative decisiveness in evaluating and confidently recommending appropriate data for research needs, and your seasoned approach to helping clients get the best use out of data. What you will do - Collaborate and consult with internal stakeholders and provide expertise on data assets that will support client's research questions - Leverage medical and pharmacy claims, EMR, lab, chargemaster, SDOH, and other emerging data assets to address your clients research questions - Co-lead discovery conversations with clients and provide consultative expertise related to real-world data strategy, study design, cohort select and other project specific needs - Translate complex needs and methodologies into clear, actionable guidance for clients' cross-functional stakeholders - Use your healthcare and industry knowledge to speak to the strengths and suitability of data assets compared to industry offerings - Develop and execute on a comprehensive data strategy tailored to specific research and business needs - Guide clients in appropriately selecting and maximizing the value of integrated, disparate data sources - Serve as a trusted thought leader by providing strategic insights and recommendations beyond transactional data procurement - Educate clients by hosting post-sale training sessions to impart your expertise and recommendations on the effective use of healthcare data - Offer forward-thinking guidance on emerging data trends, novel analytic approaches, and best practices in real-world evidence generation - Prepare and deliver study specific presentations, data feasibility assessments and proposals in the pre-sales phase - Identify potential limitations or gaps early in the project lifecycle and propose mitigation strategies or solutions to enhance usability and client satisfaction - Develop internal project specification and supporting materials, including market definitions, business rules and requirements documents - Mine vast healthcare data assets using SQL or Python in search of unique insights How success is defined - Serves as a strategic partner to sales leadership throughout the opportunity lifecycle - Provides thought leadership to the broader RWD/RWE industry through publishing, presenting, and evangelizing work with government and life science clients - Executes use case-specific training and educational events for clients and users of healthcare data - Creatively and strategically positions the organization to win against the competition by building trust and credibility as a subject matter expert Required skills and experience - Master's degree in epidemiology, public health, public policy, statistics, math, health economics, life sciences, or clinical practice - At least 3 years experience in a consultative, client-facing role with participation in RFI/RFP response and prospective client meetings - At least 5 years experience designing and executing research projects in RWD, epidemiology, pharmacoepidemiology, HEOR, and/or RWE - Experience applying real-world data to healthcare and life-science related research questions across therapeutic areas - Proficient in SQL or Python and experience coaching others in standard healthcare code/scripts - Subject matter expertise across healthcare data types including claims, EMR, labs, and patient-reported outcomes - Knowledge of coding standards including ICD, CPT, HCPCS, CVX, LOINC, and NUCC taxonomy - Exceptional attention to detail and ability to identify and mitigate project risks Desired skills and experience - Knowledge of improving healthcare systems and clinical outcomes through healthcare data ecosystems - Experience planning and executing training and development programs - Strong written and verbal communication skills - Highly organized and proactive critical thinking - Ability to work in a fast-paced environment - Ability to travel for client meetings up to 10% Compensation - Base salary range: $165,000 - $190,000 plus annual bonus opportunity Hiring Locations Main office operates on a hybrid model with in-office work required three days a week for local employees. Hub Locations: - Philadelphia, Pennsylvania - Boston, Massachusetts - New York City, New York - Baltimore, Maryland - Washington, D.C. - Charlotte, North Carolina - Raleigh-Durham, North Carolina - Atlanta, Georgia - Chicago, Illinois Approved States for Remote Work: CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA. Benefits & Perks - Competitive base salary and annual bonus opportunity - Health, dental, and vision coverage starting on day 1 - 401(k) plan and equity program - Flexible hybrid and remote work options depending on location - Generous PTO and paid parental leave - Comprehensive onboarding and mentorship resources - Professional development support and annual development budget - Inclusive and equal opportunity workplace

🏢 Summary: Senior client-facing role focused on advising life sciences and healthcare clients on real-world data strategy, study design, and evidence generation using integrated healthcare datasets. The position involves consulting on data solutions, leading research-related discussions, developing data strategies, and leveraging SQL or Python to generate insights from large healthcare data ecosystems. 🗂️ Requirements: Master's degree in epidemiology, public health, public policy, statistics, math, health economics, life sciences, or clinical practice, 3+ years in a consultative client-facing role participating in RFI/RFP responses and prospective client meetings, 5+ years designing and executing RWD, epidemiology, pharmacoepidemiology, HEOR, or RWE research projects, Experience applying real-world healthcare data to life sciences research questions, Proficiency in SQL or Python, Expertise with healthcare data types including claims, EMR, labs, and patient-reported outcomes, Knowledge of healthcare coding standards, Ability to identify and mitigate project or proposal risks, Ability to travel up to 10% 📃 Skills: SQL, Python, EMR, HEOR, RWD, RWE, ICD, CPT, HCPCS, CVX, LOINC, NUCC, Claims, Epidemiology, Pharmacoepidemiology 🏢 Description: How you will help As a Director, Real World Data Insights you will provide exceptional healthcare data expertise throughout the contract/project lifecycle. You will translate client needs into data solutions, leveraging the largest healthcare data ecosystem in the US. Your clients and colleagues will rely on you for your real world data and evidence subject matter expertise, your deep understanding of the questions life science companies are asking, your strategic and consultative decisiveness in evaluating and confidently recommending appropriate data for research needs, and your seasoned approach to helping clients get the best use out of data. What you will do - Collaborate and consult with internal stakeholders and provide expertise on data assets that will support client's research questions - Leverage medical and pharmacy claims, EMR, lab, chargemaster, SDOH, and other emerging data assets to address your clients research questions - Co-lead discovery conversations with clients and provide consultative expertise related to real-world data strategy, study design, cohort select and other project specific needs - Translate complex needs and methodologies into clear, actionable guidance for clients' cross-functional stakeholders - Use your healthcare and industry knowledge to speak to the strengths and suitability of data assets compared to industry offerings - Develop and execute on a comprehensive data strategy tailored to specific research and business needs - Guide clients in appropriately selecting and maximizing the value of integrated, disparate data sources - Serve as a trusted thought leader by providing strategic insights and recommendations beyond transactional data procurement - Educate clients by hosting post-sale training sessions to impart your expertise and recommendations on the effective use of healthcare data - Offer forward-thinking guidance on emerging data trends, novel analytic approaches, and best practices in real-world evidence generation - Prepare and deliver study specific presentations, data feasibility assessments and proposals in the pre-sales phase - Identify potential limitations or gaps early in the project lifecycle and propose mitigation strategies or solutions to enhance usability and client satisfaction - Develop internal project specification and supporting materials, including market definitions, business rules and requirements documents - Mine vast data assets using SQL or Python in search of unique insights How success is defined - Serves as a strategic partner to sales leadership throughout the opportunity lifecycle - Provides thought leadership to the broader RWD/RWE industry through publishing, presenting, and evangelizing work with government and life science clients - Executes use case-specific training and educational events for clients and users of healthcare data - Creatively and strategically positions the organization against competition by building trust and credibility as a subject matter expert Required skills and experience - Master's degree in epidemiology, public health, public policy, statistics, math, health economics, life sciences, or clinical practice - At least 3 years experience in a consultative, client-facing role with participation in RFI/RFP responses and prospective client meetings - At least 5 years experience designing and executing research projects in RWD, epidemiology, pharmacoepidemiology, HEOR, and/or real world evidence generation - Experience applying real-world data to healthcare and life-science related research questions across therapeutic areas - Proficiency in SQL or Python and experience coaching others in standard code/scripts for healthcare use cases - Subject matter expertise across healthcare data types including claims, EMR, labs, and patient-reported outcomes - Knowledge of coding standards including ICD, CPT, HCPCS, CVX, LOINC, and NUCC taxonomy - Exceptional attention to detail and ability to identify and mitigate project or proposal risk Desired skills and experience - Experience planning and executing training and development programs within large enterprise life sciences contracts - Strong written and verbal communication skills - Highly organized and proactive critical thinking - Ability to work in a fast-paced environment - Ability to travel for client meetings as needed up to 10% Compensation - Base salary range: $165,000 - $190,000 plus annual bonus opportunity Hiring Locations Main office operates on a hybrid model with in-office work required three days a week for local employees in Philadelphia. Hub locations: - Philadelphia, Pennsylvania - Boston, Massachusetts - New York City, New York - Baltimore, Maryland - Washington, D.C. - Charlotte, North Carolina - Raleigh-Durham, North Carolina - Atlanta, Georgia - Chicago, Illinois Approved states for remote work: - CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, VA Benefits & Perks - Competitive base salary and annual bonus opportunity - Health, dental, and vision coverage starting on day 1 - 401(k) plan and equity program - Flexible work arrangements - Generous PTO and paid parental leave - Comprehensive onboarding and mentorship resources - Professional development support and annual development budget

🏢 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.