ComboCurve

• Test new features and bug fixes across core web app workflows and dashboards. • Follow and improve regression test checklists during release cycles. • Help write clear test cases and lightweight documentation for recurring QA processes. • Log bugs with strong reproduction steps, screenshots, and "expected vs. actual" notes. • Partner with engineers to understand features and identify edge cases early. • Validate data accuracy and UI behavior in key analytical outputs. • Learn basic testing and automation tools over time (if/when needed). • Support incident follow-ups by re-testing fixes and helping prevent regressions.

• Own features end-to-end—from scoping and design through implementation and deployment • Engage in software and infrastructure system design discussions • Build and maintain backend services and APIs in Python and TypeScript • Work across relational and non-relational databases • Deploy and operate services on cloud platforms • Incorporate AI-first development practices • Collaborate with engineering peers through code reviews and documentation

• Clearly communicating ComboCurve’s value propositions to prospects while listening to the potential customers feedback • Qualifying and nurturing quality sales and marketing leads until they are ready to be passed off to a business development representative • Proactively find and reach out to potential new customers via phone calls, emails, and utilizing technology including, but not limited to, LinkedIn, SalesNavigator, Zoominfo, Outreach, and Salesforce • Perform regular follow-up to prospects in a timely manner • Maintain proper CRM hygiene by logging all your sales activity • Work closely with the rest of the sales team to develop long lasting relationships with prospects

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a driven, creative, and data-oriented Growth Marketing Manager to lead the execution of our core marketing initiatives across HubSpot campaigns, social media, paid advertising, and events. You will collaborate closely with a fully remote team and play a key role in increasing brand awareness, driving engagement, and supporting pipeline growth through integrated digital and event-based marketing efforts. This role is ideal for a hands-on marketer who enjoys building, testing, and optimizing campaigns end to end from strategy and creative development to execution, measurement, and iteration. Key Responsibilities - Campaign & Growth Marketing - Own the planning, execution, and optimization of integrated marketing campaigns using HubSpot. - Build and manage HubSpot workflows, email campaigns, forms, landing pages, and reporting dashboards. - Partner with internal stakeholders to align campaigns with business objectives and growth goals. - Monitor campaign performance, analyze results, and continuously optimize based on data and insights. - Social Media Strategy & Execution - Own the company’s social media strategy and execution, with a primary focus on LinkedIn (organic and paid). - Develop and maintain a consistent content, posting, and advertising calendar. - Create and publish engaging, on-brand content that balances technical thought leadership with accessible, creative storytelling. - Manage paid social campaigns, including targeting, creative testing, budget optimization, and performance reporting. - Research competitors and industry trends to inform content strategy and experimentation. - Test and explore additional platforms (e.g., Instagram, X/Twitter, TikTok) as appropriate. - Events & Field Marketing - Plan and execute in-person and virtual events, including conferences, trade shows, webinars, and roundtables. - Own the full event lifecycle: strategy, budgeting, logistics, vendor coordination, onsite execution, and post-event follow-up. - Collaborate with internal teams to ensure events support brand awareness and pipeline goals. - Track event performance and ROI, including lead capture and post-event engagement. - Reporting & Optimization - Regularly report on marketing performance across campaigns, social, and events. - Translate data into clear insights and recommendations for stakeholders, including leadership. - Use experimentation and testing to continuously improve results across channels. Qualifications - 2–5+ years of experience in growth marketing, digital marketing, or campaign-focused roles. - Hands-on experience managing campaigns in HubSpot. - Proven experience running organic and paid social media campaigns, especially LinkedIn. - Experience planning and executing marketing events (virtual and in-person). - Strong analytical skills with the ability to measure performance and optimize accordingly. - Excellent written and verbal communication skills. - Highly organized, detail-oriented, and comfortable managing multiple initiatives simultaneously. - Creative, proactive, and solutions-oriented mindset with a strong sense of ownership. - Experience in energy, SaaS, or other technical industries is a plus but not required.

We are seeking a highly analytical and experienced Senior Data Engineer to help optimize production forecasting and operations scheduling within the petroleum engineering domain. You’ll bridge the gap between complex mathematical models (reservoir dynamics, optimization, logistics) and robust, cloud-scale data systems. This role requires a unique combination of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles. Responsibilities Data Architecture & Engineering - Design, build, and maintain scalable data pipelines for ingesting, transforming, and validating time-series data related to well performance, sensor readings, and operational logs. - Develop robust, high-performance data models using PyArrow and Pandas for efficient analysis and transfer. - Implement data quality and schema validation using Pydantic to ensure data integrity across all stages of the pipeline. - Manage and optimize data storage and retrieval in MongoDB, and integrate with cloud-native platforms like GCP BigQuery or Snowflake where applicable. API & Application Development - Build, deploy, and maintain high-performance asynchronous microservices and prototypes using FastAPI or Flask to serve complex optimization and scheduling model predictions. - Use Postman for testing, documenting, and automating API workflows. - Containerize and orchestrate applications using Docker and manage deployment on Google Cloud Platform (GCP). Quantitative Analysis & Optimization - Collaborate with reservoir and operations teams to translate complex scheduling and logistics problems into mathematical models (e.g., linear programming, resource allocation). - Implement numerical routines and simulations efficiently using NumPy for use in production environments. - Apply strong logical and analytical reasoning to debug, validate, and interpret the outputs of operational scheduling algorithms. Requirements - Education: Bachelor’s or Master’s degree in Petroleum Engineering, Computer Science, Mathematics, Operations Research, or related quantitative field, or equivalent experience. - Quantitative Strength: Proven ability to work with mathematical modeling, optimization, and time-series analysis, including: o Linear and Mixed-Integer Programming o Probability and Statistics o Algorithmic Complexity and Performance Reasoning - Collaborative mindset — experience working closely with data scientists, product owners, and domain experts to deliver production-ready systems. Preferred Qualifications - Domain Expertise: Solid understanding of well operations, drilling logistics, production data, and scheduling workflows. - Experience working with large-scale or streaming datasets. - Experience with mathematical modeling and optimization libraries (SciPy, PuLP, OR-Tools). - Experience setting up CI/CD pipelines and container deployments on GCP.

We are seeking a skilled and highly motivated Full-Stack Developer to design, develop, and maintain our core applications. You will be responsible for the entire development lifecycle, from designing robust backend APIs to building intuitive, data-rich user interfaces. Experience with large datasets and complex data models is essential. Required Tech Stack - Language: Expert proficiency in TypeScript and JavaScript - Frontend: React, Material UI (MUI), React Hook Form - Backend: Node.js, Express.js, tRPC - Database: MongoDB - Tools: Git, Docker (preferred)Qualifications - 3+ years of professional experience as a Full-Stack Developer, primarily with the MERN/TypeScript stack. - Deep understanding of TypeScript's advanced features and its application in large-scale projects. - Proven ability to build and deploy production-ready applications using tRPC for end-to-end type safety. - Strong experience with MongoDB query optimization and schema design for complex, relational-like data structures. - Experience or strong interest in petroleum engineering concepts (e.g., production data, drilling, reservoir monitoring) and handling specialized technical data. - Excellent problem-solving skills and attention to detail. Nice-to-Haves - Experience with petroleum engineering, especially decline curve analysis. - Familiarity with data visualization libraries (e.g., D3.js, ZingChart, or equivalent). - Experience with cloud deployment platforms (GCP or AWS, Azure). - Prior work on mapping or GIS applications. - Contributions to open-source projects. Key Responsibilities - Full-Stack Development: Architect and implement new features across the entire application stack, ensuring high performance, responsiveness, and reliability. - Frontend Engineering: Develop and maintain complex, data-visualization-heavy user interfaces using React and MUI. Implement complex form logic and validation using React Hook Form. - Backend Engineering: Design and implement type-safe APIs using Node.js, Express.js, and tRPC. - Database Management: Design, optimize, and manage MongoDB queries to handle large volumes of petroleum data (e.g., well logs, time-series production data). - Type Safety & Quality: Champion the use of TypeScript across the stack to ensure code quality, predictability, and maintainability. - Collaboration: Work closely with petroleum engineers and product managers to translate domain-specific requirements into technical solutions. - Testing: Write comprehensive unit and integration tests.

We’re hiring a Senior Software Engineer to join our Platform Team. You’ll help design and build the core services, internal APIs, and data workflows that power ComboCurve’s products. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building platform capabilities that make the rest of engineering faster and more reliable. What You’ll Do - Build and maintain robust platform services and internal tooling primarily in Python. - Design clean, well-typed interfaces and services that scale with growing data volumes and product needs. - Develop and own internal APIs that other teams depend on, with strong contracts and documentation. - Create high-performance data processing paths inside services to support analytics and ingestion workloads. - Deploy and operate Python services on GCP using serverless and managed platforms. - Improve CI/CD pipelines, testing practices, and developer experience across the platform. - Partner closely with product engineers, data engineers, and leadership to shape platform direction. - Write ADRs, architecture diagrams, and technical documentation that scale decision-making. - Mentor other engineers through code reviews, pairing, and pragmatic standards-setting. Requirements - Advanced Python Proficiency: Deep expertise in Python 3.13+, specifically utilizing type annotations, async/await patterns, and modern language features to build robust platform services. - Modern Dependency Management: Hands-on experience with uv for fast package management (or similar), dependency resolution, and virtual environment handling. - Software Architecture Patterns: Strong adherence to SOLID principles and clean architecture; ability to design decoupled, maintainable systems that scale. - API Design & Development: Experience designing internal APIs using REST or gRPC, including defining clear, standard contracts using OpenAPI specifications. - High-Performance Data Processing: Experience using polars, PyArrow, or Apache Iceberg for efficient large-scale data manipulation and processing within application logic. - Data Warehouse Integration: Experience connecting Python applications to modern data platforms like Snowflake or Databricks for data ingestion and retrieval. - Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically using Cloud Run, Cloud Functions, and Google Cloud Storage. - CI/CD: Ability to design and maintain pipelines for automated testing, linting, and cloud deployment; experience with GitHub Actions is strongly preferred. - Automated Testing Strategy: Extensive experience writing comprehensive test suites using pytest, including the use of fixtures, parameterization, and mocking external services. - Technical Leadership: Ability to mentor team members through code reviews, ADRs and architecture diagrams. - AI Agent Frameworks Experience: building or integrating with AI agent frameworks and LLM orchestration tools to enhance platform automation and capabilities. - Shell Scripting: Competency in Bash scripting for automating local developer tasks, build processes, or operational utility scripts. - Version Control Mastery: Deep understanding of Git, including branching strategies, conflict resolution, and maintaining a clean commit history. - Containerization: Proficiency in Docker and Docker Compose for creating consistent local development environments and production-ready images. - Static Analysis Configuration: Familiarity with enforcing code quality standards using ruff for linting and pyright for strict static type checking.

We are looking for a Petroleum Engineer to join our Customer Experience team. As experts in ComboCurve, this team’s mission is to ensure our customers find value in using our software and continue to renew and grow with us. You will be instrumental in driving success throughout the customer journey, beginning with onboarding, and continuing with adoption, usage, value recognition, and advocacy. If you are interested in being part of a fast paced, quickly growing company that is revolutionizing the energy industry, this is the position for you. We offer competitive pay, fantastic benefits, and are a completely remote company. We are currently looking for candidates located in the Houston, Dallas, Midland, or Austin areas. Responsibilities Include: · Contributing to ComboCurve’s client retention goals by driving product adoption and expanding usage through proactive, regularly scheduled touchpoints. · Serving as the primary owner of the consultative journey for an assigned portfolio of customers. · Advising clients on industry best practices, reservoir engineering workflows, and how to maximize value using ComboCurve. · Identifying opportunities for user growth and account expansion within existing client organizations. · Developing, executing, and maintaining strategic success plans tailored to each allocated customer. · Acting as a trusted advisor and thought leader within the oil and gas industry by contributing to relevant content, discussions, and insights. · Serving as the source of truth for all facets of your customer base, including technical workflows, business objectives, and account strategy. · Driving client adoption by aligning ComboCurve solutions with evolving business needs and operational goals. · Supporting customer inquiries through established support processes and ensuring timely resolution. · Advocating for customers internally by providing strategic feedback to Product, Sales, and Leadership teams to continuously improve the customer experience. · Travel intermittently for on-site customer engagements and trade shows. We are looking for someone who has: · A background of 1-4 years in Reservoir Engineering. · Familiarity with reservoir engineering workflows, including but not limited to A&D evaluations, PDP forecasting, upside forecasting, and economic evaluations. · Experience with ARIES, PHDWin, and other similar reservoir engineering and economic modeling software. · A collaborative, team-oriented mindset with the ability to work cross-functionally. · A strong analytical and process-driven approach to problem solving. · Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to diverse audiences.

• Contributing to ComboCurve’s client retention goals by driving product adoption and expanding usage through proactive, regularly scheduled touchpoints. • Serving as the primary owner of the consultative journey for an assigned portfolio of customers. • Advising clients on industry best practices, reservoir engineering workflows, and how to maximize value using ComboCurve. • Identifying opportunities for user growth and account expansion within existing client organizations. • Developing, executing, and maintaining strategic success plans tailored to each allocated customer. • Acting as a trusted advisor and thought leader within the oil and gas industry by contributing to relevant content, discussions, and insights. • Serving as the source of truth for all facets of your customer base, including technical workflows, business objectives, and account strategy. • Driving client adoption by aligning ComboCurve solutions with evolving business needs and operational goals. • Supporting customer inquiries through established support processes and ensuring timely resolution. • Advocating for customers internally by providing strategic feedback to Product, Sales, and Leadership teams to continuously improve the customer experience. • Travel intermittently for on-site customer engagements and trade shows.

• Own the planning, execution, and optimization of integrated marketing campaigns using HubSpot. • Build and manage HubSpot workflows, email campaigns, forms, landing pages, and reporting dashboards. • Partner with internal stakeholders to align campaigns with business objectives and growth goals. • Monitor campaign performance, analyze results, and continuously optimize based on data and insights. • Own the company’s social media strategy and execution, with a primary focus on LinkedIn (organic and paid). • Develop and maintain a consistent content, posting, and advertising calendar. • Create and publish engaging, on-brand content that balances technical thought leadership with accessible, creative storytelling. • Manage paid social campaigns, including targeting, creative testing, budget optimization, and performance reporting. • Research competitors and industry trends to inform content strategy and experimentation. • Plan and execute in-person and virtual events, including conferences, trade shows, webinars, and roundtables. • Own the full event lifecycle: strategy, budgeting, logistics, vendor coordination, onsite execution, and post-event follow-up. • Collaborate with internal teams to ensure events support brand awareness and pipeline goals. • Track event performance and ROI, including lead capture and post-event engagement. • Regularly report on marketing performance across campaigns, social, and events. • Translate data into clear insights and recommendations for stakeholders, including leadership. • Use experimentation and testing to continuously improve results across channels.