DevSavant Inc.

Role Description We're looking for a talented Data Scientist with expert Python skills and experience in processing large amounts of data to join our client's team. You'll be a key player in designing, building, and making our main data pipelines and ML systems (that power our advanced analytics and machine learning models) able to handle more. You'll work closely with data scientists and engineers to create strong, efficient, and scalable systems. If you love solving complex technical problems, building production-ready data systems, and want to make a big impact on a data-driven company, this job is for you! Antenna, our client, is a remote-first company, and we are looking for candidates who can work during US business hours. You will report to the Data Science Lead. What You’ll Do - Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP). - Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow. - Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans. - Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build). - Work with data scientists to get machine learning models ready for production and connect them to our data systems. - Write detailed documents for the system designs, code, and systems you create and manage. - Fix complex technical problems in data systems that run on many computers and in ML pipelines. Qualifications - 3-5+ years of work experience in software engineering, with a strong focus on data engineering, ML engineering, or building applications that use a lot of data. - Expert in Python, with a strong understanding of object-oriented design, software system design, and experience building high-quality, testable code for production. - Strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar. - Solid experience with cloud platforms (GCP is highly preferred). - Strong SQL skills and experience working with large, complex datasets. - Deep understanding of machine learning ideas, the full process of creating a model, and MLOps principles. - Excellent problem-solver, good at fixing complex issues in systems that run on many computers, and making them perform better and handle more data. - Ability to explain complex technical ideas and system design decisions clearly and effectively in English. - Advanced English proficiency (B2-C1); Excellent communication, teamwork, and consulting skills. - Passionate about building strong, scalable systems and eager to guide and work with a team. - Care deeply about code quality, system reliability, and writing good documentation. Bonus - Experience in or passion for the Subscription Economy, especially in media and entertainment. - Deep knowledge of specific GCP services like Dataproc, Dataflow, Cloud Composer, Vertex AI, or Kubernetes Engine. - Experience building and maintaining Python code (libraries) used by many, or contributions to open-source projects. - Advanced knowledge of MLOps tools and ways to manage workflows (e.g. Cloudbuild, CloudRun). Tech Stack - Languages: Python (expert), SQL (strong) - Large-Scale Data Processing: Apache Spark/PySpark (or similar like Dask) - Cloud Platform: Google Cloud (Dataproc, BigQuery, Cloud Storage, Cloud Run, Cloud Build, GKE - strong experience expected) - Version Control: Git (expert) - MLOps & Orchestration: Familiar with tools like Airflow, Kubeflow, Vertex AI Pipelines - Containerization: Docker, Kubernetes - Data Analysis Libraries: Pandas, NumPy (very good with these) - Machine Learning: scikit-learn, TensorFlow/PyTorch (understand how to get them to production) - AI Tools: Claude, Gemini, OpenAI offerings

At DevSavant, we are a trusted technology partner. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. About the Role We are looking for a motivated and detail-oriented Deal Desk Analyst to join the team. This junior-level role offers an exciting opportunity to learn and grow within the Sales Operations field. The ideal candidate will play a key part in ensuring the accuracy and efficiency of the sales contract processes, directly supporting the sales team and collaborating closely with other departments. Responsibilities - Review and approve sales contracts, order forms, bookings and self-service purchases. - Communicate with sales representatives to clarify corrections or approvals needed for contracts via Slack, email, or calls. - Ensure the accurate generation of order forms and notify sales reps upon completion. - Follow detailed checklists to verify all aspects of contracts and documentation. - Collaborate with the team through Slack and scheduled meetings, leveraging ongoing support from teammates. - Following detailed instructions. - Reviewing documents and data for accuracy. - Working quickly and efficiently. Requirements Must-Have: - Experience: 1-2 years in roles such as revenue operations, customer service, billing, or contract-related processes in a SaaS or Software related company. - Skills: - Strong communication skills in English (B2+ proficiency, written and verbal). - Strong sense of urgency, extremely responsive in communications. - Detail-oriented mindset with independent decision-making and problem-solving capabilities. - Ability to follow processes with precision and work efficiently under time constraints. - Work Environment: Stable internet connection. - Availability: Regular business hours with occasional flexibility for later shifts at month-end. Ideal shift would be 12:00 pm - 8:00pm CST. Nice-to-Have: - Familiarity with tools such as Salesforce or DocuSign (training will be provided). - Background in sales metrics, order management, or customer-facing roles. - Knowledge of contract processes or billing systems. Qualities We Are Looking For - Self-Motivated: Ability to work independently and take initiative. - Collaborative: Team player with strong interpersonal skills to engage with both teammates and sales reps. - Problem-Solver: Critical thinker who enjoys identifying and resolving issues. - Growth-Oriented: Desire to learn and develop within the sales operations field.

At DevSavant, we are a trusted technology partner. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. About the Role We are looking for a motivated and detail-oriented Billing Operations Analyst to join the team. This role serves as the operational backbone of our billing function, ensuring accuracy and efficiency across our financial systems. The ideal candidate will manage billing inquiries, maintain subscription integrity, and collaborate across departments to drive resolution for unpaid invoices while leveraging modern tools to automate workflows. Responsibilities - Customer Billing Support: Review and respond to billing inquiries from customers via email, ensuring timely, accurate, and professional communication. - Case Management: Work in the Salesforce case queue to track, manage, and resolve billing issues end-to-end. - Subscription Management: Use Stripe Billing and Salesforce to review, update, and modify subscription details with precision. - Audits & Analytics: Perform ad hoc audits and analytics on subscriptions to identify discrepancies, patterns, or opportunities for improvement. - Collections Support: Assist in updating billing details and coordinating outreach to manage and reduce unpaid invoice balances. - Cross-Functional Collaboration: Partner with Finance, RevOps, and Sales to resolve billing issues and surface systemic improvements. - Process Improvement with AI: Proactively identify manual tasks and leverage AI tools to streamline workflows, from drafting communications to automating reconciliation logic. Requirements Must-Have: - Experience: 1-2 years in billing, finance operations, revenue operations, or a similar analytical role within a SaaS or software-related company. - Skills: - Strong communication skills in English (B2+ proficiency, written and verbal). - Proficiency in Excel and/or Google Sheets (formulas, pivot tables, data organization). - Experience working with SaaS platforms such as Salesforce and Stripe (or similar tools). - Familiarity with AI tools (e.g., ChatGPT, Claude) and a genuine willingness to use them to improve productivity. - Work Environment: Stable internet connection for a 100% remote setting. - Qualities: High attention to detail, strong sense of reliability, and ability to work independently. Nice-to-Have: - Background in Finance or Sales Operations. - Experience in customer-facing roles handling "tricky" financial situations. - Knowledge of automated reconciliation logic or advanced data tools. Qualities We Are Looking For - Detail-Oriented: You care about getting things right and understand the impact of billing accuracy on the business and the customer. - Problem-Solver: You are curious about how things work and enjoy identifying the root cause of issues to avoid them in the future. - Growth-Oriented: You are open to using AI tools to make your day-to-day work more efficient and are eager to develop within the RevOps field. - Communicative: You write clear, professional, and friendly messages even when dealing with complex billing topics. - Collaborative: You are a team player who keeps stakeholders in the loop and reaches out across departments when needed.

At DevSavant, we are a trusted technology partner. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. The Role As a Customer Success Engineer, you are the technical bridge between our product’s potential and our customers' reality. You aren't just a "support" person; you are a proactive consultant who ensures our users don't just have our tool, but master it. You will own the technical relationship, drive product adoption through expert demos, and maintain our reputation for world-class responsiveness. Responsibilities - 1. Product Evangelism & Demos - The "Showman": Conduct high-impact, tailored product demonstrations for existing customers to unveil new features, best practices, and advanced use cases. - Feature Adoption: Identify underutilized areas of the platform within your accounts and run targeted "mini-clinics" to ensure customers are getting maximum ROI. - Onboarding Specialist: Lead the technical configuration and "First 30 Days" experience for new clients, ensuring a "Watershed Moment" where they see immediate value. 2. Responsive Support & Technical Triage - Front-line Expert: Act as the primary technical point of contact for customer inquiries and support tickets, providing rapid, accurate, and empathetic resolutions. - Problem Solver: Investigate complex technical issues, replicate bugs, and work directly with the Engineering team to push through fixes and workarounds. - SLA Obsession: Maintain a "stay on top of it" mentality—ensure no ticket lingers and every customer feels like they are your only priority. 3. Proactive Account Health - The "Early Warning System": Monitor customer health scores and platform usage data to proactively reach out before a customer even knows they have a problem. - Success Planning: Collaborate with Account Managers to create technical success roadmaps, ensuring our product evolves alongside the customer’s business goals. - Feedback Loop: Be the "Voice of the Customer" for our Product team. Translate customer pain points into actionable feature requests and roadmap items. - Who You Are - Customer-Centric: You genuinely care about the human on the other side of the screen. You find satisfaction in solving their problems and making them look like heroes within their own organizations. - Technically Fluent: You can talk APIs, integrations, and security protocols in your sleep, but you also know how to explain them to a non-technical C-Suite executive. - Proactive & Relentless: You don't wait for a "ping" to take action. You are organized, you manage your own queue, and you follow up until a problem is 100% resolved. - Clear Communicator: Whether it’s a LinkedIn-ready demo or a detailed technical bug report, your communication is crisp, professional, and engaging. Required Qualifications - Experience: 3–5 years in a customer-facing technical role (Customer Success Engineer, Solutions Architect, or Tier 3 Support). - Skills: Proficiency in Python, SQL, or AWS. Experience with CRM and Support tools (e.g., Hubspot) - Industry Context: (Preferred) Experience in Cybersecurity, CTEM, or Enterprise SaaS. - Hands-on experience with one or more leading vulnerability management platforms: Qualys, Tenable (Tenable.io, Tenable.sc, or Nessus), or Rapid7 (InsightVM or Insight Platform) - Ability to speak fluently with security engineers and IT teams about vulnerability scanning workflows, asset discovery, and remediation prioritization - Familiarity with how enterprise security teams operationalize these tools — not just surface-level awareness, but enough depth to support and advise customers using them in production environments - Presentation Skills: Proven ability to lead live demos and webinars for groups of 1 to 50. What Success Looks Like in 12 Months - Adoption: You have increased the "Feature Depth" of your assigned accounts by 30%. - Satisfaction: You maintain a personal CSAT (Customer Satisfaction) score of 95%+. - Efficiency: You have automated or documented at least 3 recurring support processes to help the team scale. A

About the Role We’re looking for a Hybrid Product & Project Manager to join our startup team and own both the vision (what/why) and the execution (how/when) of our applied engineering initiatives. This role is ideal for someone who thrives in startups, is comfortable wearing multiple hats, and can balance product strategy with day-to-day delivery management. You’ll work closely with our Director of Applied Engineering/Tech Lead and a lean engineering team to make sure we’re building the right things, in the right way, and delivering them on time. Responsibilities Product Management (50%) - Define and maintain the product roadmap aligned with company goals. - Gather requirements from leadership, customers, and stakeholders. - Own the backlog content (user stories, acceptance criteria, prioritization). - Translate business needs into clear, actionable product features. - Track adoption, feedback, and product success metrics. Project Management (50%) - Run day-to-day agile ceremonies (standups, backlog refinement, sprint planning, retros). - Ensure backlog is organized, realistic, and deliverable. - Track milestones, dependencies, risks, and progress. - Coordinate across engineering, design, and leadership to remove blockers. - Report project status, timelines, and delivery health. Who You Are - Startup-minded: comfortable with ambiguity, resource constraints, and moving fast. - Hybrid thinker: can switch between product strategy and execution details. - Strong communicator: able to translate between business stakeholders and engineers. - Organized: proven ability to manage projects end-to-end. - Technical fluency: not necessarily an engineer, but able to understand architecture, APIs, and technical trade-offs. - Go Getter: Someone that does not stop at a blocker waiting for it to get resolved, our mentality is to resolve the issue and deliver value to our clients. Requirements - Computer Science or Engineering Degree - 5-7+ years in product management, project management, or similar hybrid roles. - Experience with Agile/Scrum/Kanban and tools like Jira, Linear, or Notion. - Strong background in working with technical teams (engineering, architecture, data). - Previous experience working with AI projects, utilizing different models in the day to day operation - Excellent communication and facilitation skills. - C-1 English level - Bonus/Nice-to-Have: - Experience managing fast-paced product deliveries to market. - Stronger technical understanding (comfortable discussing APIs, architecture, or system trade-offs). - Previous startup experience or background in SaaS/AI/software products.

At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. Summary As the AI Operations Manager, you will report directly to the COO to spearhead our AI Center of Excellence (CoE). Your mission is to accelerate our AI Maturity from experimental pilots to a defined operating model where AI is a standard layer of daily operations. You will be the "boots on the ground" for our AI transformation, bridging the gap between high-level strategy and technical execution. Roles & Responsibilities - CoE Operations & Rollout: Lead the daily operations of the AI CoE, coordinating with cross-functional leaders across Product, Security, IT, and Revenue Operations. - Workflow Automation: Partner with internal teams to identify manual bottlenecks and build agentic, logic-based workflows that significantly reduce manual effort. - Technical SME: Act as the internal expert on our AI stack, including Gemini Enterprise, Claude, Lovable, and n8n. - Enablement & Training: Develop and launch AI literacy training through a lightweight LMS; manage internal communications to address "AI anxiety" while building excitement for new tools. - Innovation Events: Organize and lead quarterly company-wide hackathons to foster a culture of continuous learning and "vibe coding." - Maturity Tracking: Monitor progress against the Gartner AI Maturity Scale, with a specific target of reaching Level 3 (Operational) by late Q3. Who You Are - Systems Thinking: You have the ability to look at a messy human process and map it into a clean logic flow (Trigger > Logic > AI Action > Output). - Prompt Engineering & Governance: You go beyond basic chat interactions to build repeatable, high-quality prompt templates for company-wide use. - Change Management: You possess the "soft skills" necessary to navigate organizational shifts, supporting employees through the transition to an AI-augmented workplace. Preferred Education and Experience - B2B SaaS Background: 2–4 years of experience in Revenue, Sales, or IT Operations within a B2B SaaS environment. - AI Tooling Fluency: Proven experience building with or managing enterprise AI tools (e.g., Gemini, Claude, n8n, or similar low-code/automation platforms). - Strategic Communication: Ability to translate complex AI concepts into actionable training for diverse, non-technical teams. - Project Leadership: Experience running cross-functional initiatives or technical events like hackathons. - Operational Mindset: A relentless focus on ROI; you are passionate about eliminating repetitive tasks to unlock human capacity. Core Qualities - Bias for Action: You’re an expert at identifying the next step, communicating intent, and executing without being prompted. - Remote-First Mentality: We are a 100% remote company. You are a self-starter who communicates with clarity and purpose. - Ownership: We don't micromanage. You will have the freedom to act and the accountability to deliver results. - Human-Centric: You enjoy collaborating and keeping things fun. A good sense of humor helps us stay connected in a distributed environment.

About DevSavant DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. We support founders and leadership teams with product engineering and global staffing, from early prototypes and MVPs to scaling high-performing teams. Our vetted talent across LATAM and Asia embeds directly into client teams, operating as true extensions rather than external vendors. With over 8 years working in venture-backed ecosystems, DevSavant is trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone. About the Role We are seeking a Senior Data Engineer to join a cross-functional team working on scalable data systems and analytics infrastructure. This is an individual contributor role focused on building, maintaining, and optimizing data pipelines and data models that power analytics and business-critical decision-making. The role requires a strong technical generalist mindset, combining software engineering principles with deep data expertise. You will work closely with Data Science, Data Ops, and business stakeholders to ensure data is accurate, accessible, and structured for self-service analytics. The ideal candidate is someone who enjoys working with complex datasets, simplifying systems, and building scalable data infrastructure from the ground up. Key Responsibilities Data Engineering & Pipeline Development - Own, build, maintain, and optimize scalable data pipelines - Design and implement data architectures that support analytics and operational use cases - Work with large, complex datasets to meet evolving business requirements - Ensure data quality, reliability, and performance across systems - Apply best practices for developing specialized datasets for analytics and modeling - Continuously improve data workflows, pipelines, and infrastructure Data Modeling & Analytics Enablement - Develop a deep understanding of core data models and business logic - Partner with Data Science and Data Ops teams to maintain trusted, well-documented datasets - Enable self-service analytics by structuring and organizing data effectively - Support analytical workflows and downstream consumption of data - Assist analysts with query development and dataset preparation Cross-functional Collaboration - Work with a wide range of stakeholders to gather requirements and translate them into technical solutions - Communicate complex technical concepts clearly to both technical and non-technical audiences - Collaborate closely with engineering, analytics, and product teams - Contribute to documentation and knowledge sharing across teams Infrastructure & Systems Design - Contribute to the design of scalable and maintainable systems - Optimize data delivery and infrastructure for performance and scalability - Support integration across multiple data platforms and tools - Maintain and improve existing systems, including search and indexing solutions Debugging, Optimization & Reliability - Independently troubleshoot complex systems and resolve data-related issues - Perform root cause analysis and implement long-term fixes - Improve system reliability and performance through monitoring and optimization - Ensure stability and efficiency of data platforms Core Technical Stack Data & Backend - SQL for querying, transformation, and data modeling - Python or other general-purpose programming languages (e.g., JavaScript/TypeScript, Java, C#, Go, Scala) - Experience with data pipeline tools such as Spark and DBT - Data warehouses such as BigQuery, Snowflake, or Databricks Data Orchestration & Processing - Workflow orchestration tools such as Airflow or Dagster - Experience handling large-scale data processing and transformations - Familiarity with batch and/or streaming data systems Infrastructure & Cloud - Cloud platforms such as GCP or AWS - Infrastructure as Code tools (Terraform, Pulumi, or CloudFormation) - Experience designing scalable and maintainable systems Additional Tools & Systems - Experience with backend engineering and web services is a plus - Familiarity with analytics and data visualization ecosystems - Exposure to transaction, receipt, or viewership data is beneficial Required Qualifications - 5+ years of experience in software engineering, with at least 3 years focused on data engineering or data infrastructure - Strong expertise in SQL and working with relational databases - Experience building and maintaining scalable data pipelines - Proficiency in at least one general-purpose programming language (Python preferred) - Experience with modern data stack tools (e.g., Spark, DBT, Airflow/Dagster) - Strong debugging and problem-solving skills in complex systems - Experience working with cloud data warehouses (BigQuery, Snowflake, or Databricks) - Ability to design data systems that support analytics and business intelligence - Strong communication skills and ability to work cross-functionally - Experience documenting and simplifying complex systems Nice to Have - Experience with backend engineering and API development - Experience with Infrastructure as Code (IaC) tools - Exposure to system design for customer-facing or high-scale platforms - Familiarity with analytics-heavy environments and data-driven products - Experience working with large-scale, real-world datasets (e.g., transactions, behavioral data) Qualities We're Looking For - Ownership mindset: Ability to take responsibility and drive systems end-to-end - Technical versatility: Strong foundation as a software engineer with data expertise - Problem-solving focus: Ability to navigate ambiguity and solve complex challenges - Communication skills: Clear and effective collaboration across teams - Execution-driven: Ability to move quickly and deliver results in a fast-paced environment - Continuous improvement: Desire to refine systems, processes, and technical approaches

About DevSavant At DevSavant, we are a trusted technology partner specializing in Software Development, Data Engineering, AI/Machine Learning, Cloud Solutions, Automation Testing, and UI/UX Design. We deliver innovative, high-quality solutions with a focus on excellence and results. Our people are at the heart of everything we do, fostering a culture of growth and well-being. Join us and thrive in a supportive, success-driven environment. About the role We are seeking a Senior Full Stack Developer with deep expertise in modern web application development, strong architectural design capabilities, and hands-on experience across both backend and frontend technologies. This role is ideal for someone who can independently own complex technical initiatives, collaborate effectively with cross-functional partners, and deliver scalable, secure, and high-performing applications. Key Responsabilities - Design and plan application and system architecture to ensure scalability and maintainability. - Develop and maintain backend services using Django (Python). - Build responsive, user-friendly interfaces using React and Mantine UI. - Integrate applications with PostgreSQL databases, APIs, and backend services. - Build and deploy applications using Docker and maintain consistent dev/prod environments. - Implement and maintain CI/CD workflows. - Manage and monitor cloud infrastructure on AWS (VPC, EC2, S3, RDS, CloudFront, etc.). - Maintain and administer Linux and Windows servers, including ColdFusion servers when required. - Perform system maintenance, file management (including BTRFS), and feature migration from ColdFusion to Django. - Support and enhance legacy systems, ensuring reliability and integration with modern applications. - Configure and optimize load balancers to ensure availability and performance. - Conduct performance tuning across applications and infrastructure. - Implement security best practices, access controls, encryption, and perform regular security audits. - Work closely with product, design, and stakeholder teams to define requirements and deliver aligned solutions. - Provide technical leadership and mentorship to junior developers. - Maintain clear documentation of code, processes, and infrastructure. Requirements - 7+ years of software development experience. - Proficiency in Python and JavaScript (Django and React). - Strong understanding of front-end technologies (HTML, CSS, JavaScript). - Experience working with RESTful APIs and web services. - Familiarity with relational or NoSQL databases (PostgreSQL, MySQL, MongoDB). - Proficiency with Git for version control. - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork abilities. - Experience leading engineering initiatives and working closely with product teams. - English level: B2 (spoken and written). Preferred Skills - Experience with AI and interaction with LLMs, specifically AWS Bedrock model integrations - Experience with Apache Spark, specifically PySpark for data processing - Experience with database query optimization techniques and indexing strategies - Experience with Terraform for infrastructure as code - Experience with Elasticsearch for search and analytics

About DevSavant DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. We support founders and leadership teams with product engineering and global staffing, from early prototypes and MVPs to scaling high-performing teams. Our vetted talent across LATAM and Asia embeds directly into client teams, operating as true extensions rather than external vendors. With over 8 years working in venture-backed ecosystems, DevSavant is trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone. About the Role We are seeking a Data Engineer to join our growing team of data experts. This is an individual contributor role embedded within cross-functional teams, focused on building and maintaining the data infrastructure that powers our analytics and business intelligence platforms. The role is heavily data-oriented, with a strong emphasis on designing and developing scalable, reliable data pipelines and systems using Python and SQL. You will be responsible for ensuring that business-critical data is accurate, accessible, and optimized for downstream use by software developers, analysts, data scientists, and other stakeholders. The ideal candidate is a hands-on data engineer who thrives in fast-paced environments, takes ownership, and is comfortable working with evolving requirements. You enjoy building robust data systems from the ground up, integrating new datasets, and continuously optimizing data infrastructure for performance and scalability. Key Responsibilities AI & Automation - Contribute to AI-enabled data workflows, including integration with agents and MCP servers - Leverage AI tools (e.g., Copilot, Openspec) to automate aspects of the software development lifecycle - Instrument data systems and pipelines with automation, monitoring, and intelligent workflows Data Engineering & Pipeline Development - Build and maintain scalable data pipelines using Python, SQL, and modern ETL frameworks - Design and implement robust data architectures that support business and analytical needs - Assemble large, complex datasets that meet functional and non-functional requirements - Optimize data systems for performance, reliability, and scalability - Write clean, maintainable, and well-tested code following best practices - Continuously improve data engineering standards and processes Data Infrastructure & Integration - Develop infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources - Integrate structured and unstructured data formats (e.g., CSV, Excel, Shapefiles) into centralized systems - Maintain and optimize databases containing customer usage, financial, and operational data - Integrate and optimize data access across platforms, including analytical tools such as QGIS - Maintain and improve search indices using both COTS and custom-built solutions Analytics Enablement & Stakeholder Support - Collaborate with analysts, data scientists, and business stakeholders to support data needs - Build and maintain data tools that empower analysts to explore and optimize datasets - Assist stakeholders with data-related technical challenges and infrastructure needs - Support analytical workflows, including SQL query development and dataset preparation - Partner with data and analytics teams to enhance overall system capabilities Monitoring, Reliability & Operations - Monitor data systems and pipelines to ensure high availability and reliability - Perform root cause analysis on data and system issues and implement corrective actions - Improve observability and alerting for data infrastructure - Maintain operational excellence across data platforms Collaboration & Execution - Work closely with cross-functional teams in a distributed, remote-first environment - Translate evolving business requirements into scalable data solutions - Take ownership of data systems from design through production - Operate effectively in a fast-paced environment with changing priorities Core Technical Stack Data & Backend - Python for data processing and pipeline development - SQL for querying and data transformation - PostgreSQL (preferred) and other relational databases - ETL orchestration tools such as Airflow or Cloud Composer - Data transformation tools such as DBT Data Platforms & Tools - Geospatial tools and analytical platforms (e.g., QGIS) - Handling of structured and unstructured data formats (CSV, Excel, Shapefiles) - Search and indexing technologies (COTS and custom solutions) Cloud & Infrastructure - Cloud platforms (GCP preferred; BigQuery experience is a strong plus) - Familiarity with data warehouses, data lakes, and distributed data systems - Message queuing and stream processing systems DevOps & Tooling - Linux-based environments and shell scripting - Version control, CI/CD practices, and automated workflows - AI-powered development tools (e.g., GitHub Copilot, Openspec) Required Qualifications - 3–5 years of experience in data engineering, data pipelines, or related fields - Strong proficiency in SQL and experience working with relational databases (PostgreSQL preferred) - Advanced experience using Python for data processing (including spatial and non-spatial data) - Experience building and optimizing data pipelines and architectures - Hands-on experience with ETL orchestration tools (Airflow or Cloud Composer preferred) - Experience with data transformation tools (DBT preferred) - Experience working with unstructured and legacy data formats - Strong analytical skills and experience working with large, complex datasets - Experience performing root cause analysis and improving data processes - Familiarity with distributed systems, message queues, or stream processing - Experience working in Linux environments and using command-line tools - Strong communication skills and ability to collaborate across teams - Proactive mindset with a focus on ownership and continuous improvement Nice to Have - Experience with GCP and BigQuery administration - Experience with geospatial data and tools - Familiarity with AI-enabled data systems and agent-based architectures - Experience automating SDLC processes using AI tools - Experience integrating data platforms with analytics and BI tools - Experience in high-growth or fast-paced environments Qualities We're Looking For - Results-driven mindset (GTD): Ability to identify next actions, communicate clearly, and execute efficiently - Ownership mentality: Strong sense of accountability and decision-making ability - Builder mindset: Passion for creating scalable, impactful data solutions - Curiosity and continuous improvement: Always seeking better ways to solve problems - Team collaboration: Comfortable working across teams and supporting diverse stakeholders - Bonus: You enjoy coffee, love software and products, and bring a good sense of humor

About DevSavant DevSavant is a boutique firm within the Savant Growth ecosystem specializing in connecting top LATAM talent with US-based B2B Tech and AI companies. Our Product Engineering division serves as a strategic build partner for AI-powered products, delivering MVPs, proof-of-concepts, and production-ready solutions for funded startups and growth-stage companies. We ship workflows, not widgets. Our work spans AI-powered products, native mobile apps, web platforms, and automation tools across industries like EdTech, FinTech, Legal Automation, and B2B SaaS. About the Role We are looking for a Senior UI/UX Designer to join our Product Engineering team and own the design layer across multiple concurrent client projects. You will be the go-to design expert responsible for translating product requirements and user needs into beautiful, functional, and production-ready interfaces. This is not a pixel-pushing role. You will be embedded in cross-functional project pods alongside engineers, a Technical Product Manager, and the Director of AI & Software Development. You will shape how products look, feel, and behave from discovery through delivery. You will work on 2-4 projects simultaneously, each at different stages of the product lifecycle. You will leverage AI-powered design tools extensively. We expect fluency with Figma AI, Figma Make, and emerging generative design tools to accelerate exploration, prototyping, and iteration. If you are already using AI to generate layouts, create design system variants, and produce high-fidelity prototypes from prompts, you will thrive here. What You Will Do Design Execution • Own the end-to-end design process from wireframes through high-fidelity mockups and interactive prototypes for web and mobile platforms • Create user flows, information architecture, and interaction patterns for complex AI- powered products • Build and maintain scalable design systems with reusable components, tokens, and variables in Figma • Produce developer-ready handoffs using Figma Dev Mode with clear specs, component documentation, and responsive behavior guidelines • Design for multiple platforms including web (React/Remix), iOS (Swift/SwiftUI), and responsive mobile experiences AI-Augmented Workflow • Use Figma Make to rapidly generate and iterate on high-fidelity prototypes from prompts and design system context • Leverage Figma AI features (First Draft, visual search, content generation, Vectorize) to accelerate exploration and reduce manual overhead • Use FigJam AI for user journey mapping, brainstorming, and collaborative ideation sessions • Explore and integrate emerging AI design tools (v0, Lovable, Bolt.dev, Adobe Firefly, Uizard) to push the speed and quality of design output • Use the Figma MCP server to bridge design context into agentic coding tools like Cursor and Claude Code, enabling tighter design-to-code workflows Collaboration & Communication • Partner closely with the Technical Product Manager and Director of AI & Software Development on project discovery and requirements definition • Participate in client-facing discovery sessions, presenting design concepts and rationale with clarity and confidence • Contribute to Blueprint and BRD phases with UI/UX perspectives, user flow diagrams, and interaction mockups • Provide design QA during development sprints, reviewing implementations against specs and flagging visual/interaction discrepancies • Share same-day Slack updates following meetings and design milestones per DevSavant communication guidelines Cross-Project Ownership • Manage design workstreams for 2-4 concurrent projects at different lifecycle stages (discovery, build, iteration) • Prioritize and context-switch effectively across projects with varying complexity and timelines • Build a shared DevSavant component library and design patterns that accelerate future project kickoffs What We Are Looking For Required Qualifications • 5+ years of professional UI/UX design experience with a strong portfolio of shipped web and mobile products • Expert-level proficiency in Figma, including auto layout, nested components, variables, shared libraries, and Dev Mode • Demonstrated experience with AI-powered design tools: Figma AI, Figma Make, or equivalent generative design workflows • Proven ability to design for AI-powered products (chatbots, dashboards with AI features, intelligent automation UIs, or similar) • Strong command of user research fundamentals: user flows, personas, journey mapping, and usability heuristics • Experience creating and maintaining design systems at scale across multiple products • Ability to produce interactive, clickable prototypes that communicate complex user flows to clients and developers • Fluent English with strong written and verbal communication skills • Experience working in Agile/sprint-based environments with cross-functional engineering teams • A portfolio that demonstrates clean, modern, and user-centric design with strong attention to detail Preferred Qualifications • Experience with FigJam for collaborative workshops and ideation • Familiarity with AI-assisted prototyping tools like v0 (Vercel), Lovable, Bolt.dev, or Uizard • Understanding of frontend technologies (HTML, CSS, React component patterns) to create developer-friendly handoffs • Experience designing for SaaS, EdTech, or FinTech products • Familiarity with accessibility standards (WCAG 2.1) and responsive design best practices • Experience working with LATAM-based or distributed remote teams serving US clients • Understanding of the Figma MCP server and design-to-code bridge workflows • Comfort with motion design and micro-interactions using tools like Figma prototyping or Framer Stack - Core Design: Figma Design, Figma Make, FigJam, Figma Dev Mode - AI Design Tools: Figma AI (First Draft, Vectorize, content generation), v0, Lovable, Bolt.dev - Prototyping: Figma Prototyping, Framer (nice to have) - Collaboration: Slack, Linear, GitHub, GitBook - Design-to-Code: Figma MCP Server, Cursor, Claude Code - Image & Assets: Adobe Firefly, Midjourney (nice to have) How We Work • Discovery-first methodology: every project starts with Blueprint, BRD, TRD, and wireframes before code is written • Project pods: you will work alongside engineers, a Technical Product Manager, and the AI & Software Director • Weekly client demos: your designs ship to real users fast, with iterative feedback loops • Async-first communication: Slack for updates, Linear for task management, GitHub for version control • AI-augmented development: we use Cursor, Claude Code, and AI tools extensively across the team, and expect the same from design What Success Looks Like In 30 Days • Onboarded to active projects with full context on existing design systems, brand guidelines, and client relationships • Delivered first design iterations on at least one project using Figma Make and Figma AI workflows • Established your working rhythm across 2-3 concurrent projects In 90 Days • Owning design delivery across 3-4 concurrent projects with minimal oversight • Built or significantly improved a shared DevSavant component library for cross-project reuse • Contributed design perspectives to at least 2 client discovery sessions • Established a design QA cadence with the engineering team In 6 Months • Recognized as the design authority across the Product Engineering division • Design output contributes to at least 2 published case studies showcasing product quality • Reduced design phase timelines by 30%+ through effective use of AI-powered design tools • Proactively identifying UX improvements and opportunities across client products Compensation & Benefits • Competitive monthly compensation based on experience and location • Flexible remote-first work environment with US timezone overlap (typically 4+ hours) • Direct collaboration with senior technical leadership on high-impact AI products • Exposure to a diverse portfolio of client projects across industries • Access to AI design tools and professional development budget • Growth path into Lead Designer or Design Director role as the division scales How to Apply Send your portfolio and a brief note on how you use AI in your design workflow. We care more about your process, taste, and adaptability than a long resume. Show us shipped products, design systems you have built, and examples of AI-augmented design work. What we want to see in your portfolio: Case studies that walk through your design process from problem definition to final UI. Bonus points for projects involving AI-powered products, multi-platform design systems, and examples where you used AI tools to accelerate your workflow. DevSavant is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.