DevSavant Inc.

Role Description Your primary responsibility is to be a trusted advisor to our client's largest and most strategic customers, ensuring their long-term success, retention, and growth. As a Technical Enterprise CSM, you'll manage a portfolio of high-ACV, high-complexity accounts where multiple stakeholders, departments, and use cases are in play. You'll operate effectively and professionally in a high-paced, ever-changing environment where your creativity, technical judgment, and strategic insight drive outcomes at scale. Objectives - Healthy Existing Customers: - Maintain a "healthy" portfolio of complex, multi-stakeholder enterprise accounts. - Proactively identify risk across departments and use cases. - Support customers when they're falling behind. - Drive measurable value realization across the full breadth of their deployment. - Build and execute strategic customer success plans tailored to enterprise-scale adoption. - Onboarding and Scaling New Enterprise Customers: - Lead the onboarding of new enterprise customers. - Connect their initial business case to real-world value realization across multiple teams and use cases. - Build scalable success plans that support phased rollouts. - Develop compelling use cases for marketing and expansion. - Trusted Technical and Executive Advisor: - Build trusted relationships at every level of the customer's organization. - Understand each customer's business, technical environment, and strategic priorities. - Advise confidently on how the platform's capabilities map to their goals. - Serve as the voice of the customer internally. - Retention and Growth at Scale: - Partner closely with Account Executives to grow the value of your enterprise portfolio. - Identify expansion opportunities across departments and use cases. - Help structure multi-phase growth plans for large accounts. Roles & Responsibilities - Own a portfolio of enterprise accounts characterized by higher ACV, multiple departments or business units, and greater technical and organizational complexity. - Demonstrate the power of the platform in ways that connect with both technical and executive stakeholders. - Lead Executive Business Reviews (EBRs) with VP and C-suite stakeholders. - Monitor your portfolio and manage a structured cadence of touchpoints. - Maintain a level of technical expertise in the platform sufficient to build and audit apps of high complexity. - Collaborate cross-functionally with Professional Services, Solutions Engineering, and Support. - Own your ongoing development and product education. - Communicate professionally and promptly with enterprise stakeholders and internal teams. - Maintain accurate documentation of customer, account, and activity records. - Share structured feedback with cross-functional partners. - Mentor and support less-tenured CSMs as a technical and strategic resource. Qualifications - Experience managing a book of enterprise or strategic accounts as a CSM, Technical CSM, or Technical Account Manager (TAM). - Proven experience leading EBRs with executive-level (VP/C-suite) stakeholders. - A positive attitude in the face of an ever-changing, high-complexity environment. - Self-starter and action-oriented. - Solution Architect mindset with a consultative approach. - Comfortable managing ambiguity and shifting priorities. - Strong technical aptitude to understand and communicate platform architecture. - Experience with scripting languages, preferably JavaScript. - Interpersonal savvy with the ability to relate well to people at every level. - Highly developed organizational skills. - Ability to partner with Account Executives on shared enterprise portfolios. - Ability to manage multiple simultaneous, high-complexity work streams. - Outstanding verbal and written communication skills. Preferred Education and Experience - A bachelor's degree is preferred, but not a deal-breaker if you don't have one. - Prior enterprise SaaS experience, ideally managing accounts with significant ACV. - Experience having strategic conversations with operational and executive leaders. - Comfortable working across all levels of an organization. - Proven track record of exceeding retention, expansion, or NRR-related performance goals. - History of driving strategy-based conversations that lead to meaningful product usage. - Experience with CRM tools and Customer Success Platforms such as Planhat, ChurnZero, or Catalyst. - Project management experience across multiple concurrent, complex work streams. - Proven ability to build data analytics and reporting using tools like Excel, Power BI, or Tableau. - Experience in GIS and/or mobile forms for the horizontal construction industries is a strong plus. - Experience using similar GIS, field data collection, or mobile form platforms is a huge plus. Qualities We're Looking For - You get things done. - You’re built for remote work. - You think like an owner. - You keep things human.

Role Description Devsavant is seeking an API Lead / Engineering Manager to lead the team responsible for a real-time, map-based emergency response platform. This is a hands-on leadership position combining technical ownership of the platform's architecture with day-to-day management of a small, focused engineering team. - Manage and guide a team of engineers delivering a real-time, map-based emergency response platform - Read and interpret product documentation and requirements, translating them into clear, actionable technical tickets - Serve as a technical reference for the project and help shape product requirements alongside stakeholders - Own the integration between the backend API and the React frontend - Drive architecture decisions across a serverless stack: AWS Lambda, SQS, S3, and related services - Maintain and improve CI/CD pipelines using GitHub Actions Qualifications - Proven experience managing engineering teams, ideally in a hands-on, individual-contributor-adjacent capacity - Strong TypeScript and Node.js - Experience with serverless infrastructure-as-code frameworks (SST and Pulumi) and AWS Lambda - Familiarity with React, sufficient to manage frontend/backend integration effectively - Comfort owning architecture decisions and translating product requirements into technical execution - Experience managing a team of approximately 3 engineers Nice to Have - Experience with SOC 2 compliance frameworks (the project is working toward TX-RAMP certification) Logistics - Location/hours: Remote, with working hours overlapping the US Central Time zone (Texas) - Timeline: Immediate need

Role Description As AI CoE Program Lead, you'll report directly to the COO to run and scale our AI Center of Excellence (CoE). This isn't a greenfield build — the foundation is already in place: a live AI CoE Portal, a functioning AI Operating System, six rounds of company hackathons, and a 12-week cross-functional training program already underway. Your job is to take this from "early traction" to "default way of working" — driving adoption, tightening operations, and turning a hardworking group of part-time champions into a durable, scaled program. You'll be the connective tissue between DataOps and IT — who own the underlying infrastructure and data architecture — and the cross-functional CoE members who are driving adoption in their departments on top of their day jobs. You should be deeply fluent in AI yourself — comfortable deploying automations and agents, and genuinely energized by experimenting with new AI tools and techniques — while keeping the whole engine running smoothly, efficiently, and visibly delivering ROI. This is a deliberately hybrid role: equal parts hands-on AI builder and cross-functional program operator. We're looking for someone who can do both, even if not with equal depth on day one — strong AI chops are the harder thing to teach, so that's our primary bar. Qualifications - Deep, Hands-On AI Experience: Demonstrated track record of personally deploying AI automations and agents. - Builder's Curiosity: A habit of experimenting with emerging AI tools and techniques outside of formal projects. - Professional Background: 2-4 years of professional experience, ideally touching Revenue, Sales, IT Operations, or Program/Project Management within a B2B SaaS environment. Requirements - Scale the CoE Operating Model: Take ownership of the day-to-day running of the AI CoE. - Own the AI CoE Portal: Drive continuous improvement of the live Portal. - Run the Training Program: Own development and delivery of ongoing training. - Formalize the Hackathon Cadence: Convert the hackathons-to-date into a repeatable quarterly playbook. - Drive Self-Service Automation: Champion and operationalize the company-wide vision for employee-built automations. - Be the Coaching Backstop: Serve as the go-to point of contact for employee questions and troubleshooting. - Own the Complex & Cross-Functional Builds: Take direct, hands-on ownership of complex builds. - Workflow Automation: Partner with department champions to identify and convert manual work into automated workflows. - AI Governance: Champion governance processes for AI assets. - Hands-On AI Deployment: Personally design, build, and deploy automations and AI agents. - Stay on the Edge: Continuously evaluate and pilot new AI tools, models, and techniques. - Maturity Tracking & Reporting: Maintain and report on our position against the Gartner AI Maturity Scale. - Change Management & Communications: Own internal AI communications. Benefits - Supportive, success-driven environment. - Opportunity to work with cutting-edge AI tools and technologies. - Flexible work arrangements in a 100% remote company. Company Description 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.

Role Description We’re looking for a Senior Manager, Content Marketing to own and evolve Our Customer’s voice across every channel we publish. This role sits at the intersection of brand, strategy, and execution. - Manage our social media presence across organic and paid channels. - Produce The Signal (our monthly newsletter). - Drive the blog content pipeline. - Build the editorial calendar that keeps it all moving. - Coordinate across executives, the insights team, and product marketing to keep multiple workstreams moving at once. - Be equal parts storyteller, strategist, and project manager. - Obsess over brand voice and visual identity as well as distribution, performance, and growth. You will report to the VP, Marketing & Communications. Our Customer is a remote-first company, and we are looking for candidates who can work during US business hours (ET - PT). Qualifications - 6+ years of experience in social media, content marketing, or a closely related discipline — with meaningful time spent at a B2B or B2B-adjacent brand. - Skilled project manager who thrives across multi-threaded timelines with multiple stakeholders, including executives. - Champion and protector of brand voice and visual identity. - Strong command of content distribution strategy across owned, shared, and paid channels. - Hands-on experience with paid social ad platforms — Meta Ads Manager, LinkedIn Campaign Manager, or equivalent. - Familiar with modern entertainment, streaming, and Hollywood culture. - Comfortable in Webflow and familiar with modern CMS workflows for publishing and optimizing blog content. - Fluent in design tools such as Figma, Canva, or similar. - Sharp editorial eye — copywriting and copy editing come naturally. - Experienced with social media management platforms such as Hootsuite, Sprout Social, Statusbrew, or similar. - AI-native — uses platforms like Claude and other AI tools as a natural part of workflow. - Produced short-form social video — knows what makes a 30-second clip land on LinkedIn or Instagram. Requirements - Manage and execute the blog content pipeline — writing, editing, publishing, and optimizing posts using insights produced by the data and insights team. - Own and maintain the editorial calendar across all content channels. - Promote Our Customer's quarterly reports and syndicated insights across owned, shared, and paid channels. - Manage relationships with external vendors including freelancers and agencies as needed. Company Description 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. - Vetted talent across LATAM and Asia embeds directly into client teams. - Trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone.

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.