Green Irony

• Take AI-generated builds to production • Run 3–4 engagements at once — autonomously, but on the rails • Work AI-first, every day • Keep everyone ahead of the work

• The architecture. • The AI delivery engine. • Our AI edge. • Discovery and the solution. • Delivery and the relationship. • The engineering bar.

• Own the client relationship. You’re the primary point of contact from kickoff to closeout. Clients trust you, lean on you, and come back because of you. You communicate proactively, and they never have to chase you for a status update. • Own the plan. You’ll run up to 20 concurrent engagements ($30–50K, 3–8 weeks), coordinating small engineering teams alongside our AI-powered delivery tools. You track milestones, flag risks early, unblock teams fast, and keep work moving before anyone has to ask. AI handles documentation and reporting overhead so the volume stays manageable. • Run the engagement from kickoff to hypercare. You run a structured cadence: 30-minute kickoff, 2–3 discovery sessions, FRD review, UAT, and hypercare. You author the FRD with AI, lock first discovery within seven business days, and clear open items before development starts. Status goes out every Monday. Every meeting has a purpose, an agenda, and a result. • Hold the line on scope and commitments. You enforce scope discipline so projects stay profitable and clients get exactly what was promised. Out-of-scope requests go through a change request before work begins. No exceptions, but you handle it in a way that strengthens the relationship rather than straining it. • Operate from inside Claude. Claude is your primary interface, not a tool you reach for occasionally. You use it to pull context (SOW summaries, account history, project health briefings), to run the skills that produce client-facing artifacts (kickoff deck, discovery questionnaire, FRD, UAT guide, weekly status report), and to keep Notion — our system of record — current. The scrum agent reports project status into a dashboard you act on; you don’t chase engineers for updates. • Spot the next dollar. You’re the eyes on the ground inside the account. Spot follow-on projects, managed services opportunities, and adjacent problems we could solve. Loop in sales when there’s something to chase — you don’t close the deal, but you make sure it never gets missed.

• Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT). • Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery. • Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship. • Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you. • Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem). • Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins). • Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption). • Monitor and optimize integrations for performance, scalability, and maintainability. • Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client. • Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business. • Proactively communicate status, risks, and decisions — updates go out without being asked. • Build trusted relationships that make scope conversations easier, not harder. • Provide coaching and technical guidance to engineers; lead code reviews and process improvements. • Operate as a peer, not a manager — lift standards through quality of work and direct feedback. • You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else.

• Own the integration platform for our clients — end-to-end. • Design the target-state API-led architecture (system/process/experience layers), define NFRs, govern standards, and publish reusable templates that teams actually use — not just reference. • Build the AI playbook. Create prompt and snippet libraries that accelerate design, mapping, and testing. Measure the before/after. Coach your team to adopt. • Own milestones, scope, and LOE. Keep estimate variance ≤ ±15%. Communicate risks before anyone has to ask. Exec-ready updates go out weekly, without prompting. • Lead discovery, shape solution architecture, and co-author SOWs with clear assumptions. • You track your own commitments. You surface risks before they surface you. If you've always been three steps ahead of your own deadlines, you'll feel right at home.

• Own the client relationship. • Own the plan, not just the relationship. • Run tight meetings with clear outcomes. • Hold the line on scope and commitments. • Handle the operational details that matter. • Work fluently with AI tools.

• Own the client relationship. You're the primary point of contact from kickoff to closeout. Clients trust you, lean on you, and come back because of you. You communicate proactively — they never have to chase you for a status update. • Keep projects healthy and moving. You'll manage 8–12 concurrent engagements ($30–50K, 3–8 week timelines), coordinating small engineering teams alongside our AI-powered delivery tools. You spot risks early, unblock teams fast, and keep everything tracking against scope, schedule, and budget. • Run tight meetings with clear outcomes. Kickoffs, discoveries, status calls, closeouts — every meeting you run has a purpose, an agenda, and a result. You protect engineer time and client time equally. • Hold the line on scope and commitments. You enforce scope discipline so projects stay profitable and clients get exactly what was promised. Out-of-scope requests go through a change request before work begins — no exceptions, but you handle it in a way that strengthens the relationship rather than straining it. • Handle the operational details that matter. Accurate invoicing, timely collections follow-up, clear project health reporting to leadership. These aren't glamorous, but you don't let them slide. • Work fluently with AI tools. Our delivery model integrates AI across engineering execution, SOW development, discovery, and internal processes. You won't be learning to tolerate this — you'll be coordinating and leveraging it as a natural part of how you work every day.

At Green Irony, we exist to turn AI into Actual Intelligence—accelerating outcomes and proving that complexity is optional. We hire people who automate first, ask permission never, and treat ownership as a default setting. If you’d rather govern yourself than be governed by layers of project managers, welcome home. Location: Remote (US). Preference for Central or Eastern time zones. The Short Version We're a Salesforce and MuleSoft consulting company that's figured out something most haven't: how to use AI not as a buzzword, but as the backbone of how we deliver. Our engineers work alongside AI-powered delivery tools that handle meaningful portions of development, testing, SOW generation, and discovery — which means we move faster, deliver more consistently, and compete at price points that shouldn't be possible with onshore quality. That model is working. Now we need someone who can own the client experience across a portfolio of engagements — the person who makes sure every client feels well-served, every project stays healthy, and nothing falls through the cracks. If you're the kind of person who thrives on building client relationships, moves fast, stays organized without being reminded, and gets energy from keeping a lot of plates spinning — keep reading. What You'll Actually Do Own the client relationship. You're the primary point of contact from kickoff to closeout. Clients trust you, lean on you, and come back because of you. You communicate proactively — they never have to chase you for a status update. Keep projects healthy and moving. You'll manage 8–12 concurrent engagements ($30–50K, 3–8 week timelines), coordinating small engineering teams alongside our AI-powered delivery tools. You spot risks early, unblock teams fast, and keep everything tracking against scope, schedule, and budget. Run tight meetings with clear outcomes. Kickoffs, discoveries, status calls, closeouts — every meeting you run has a purpose, an agenda, and a result. You protect engineer time and client time equally. Hold the line on scope and commitments. You enforce scope discipline so projects stay profitable and clients get exactly what was promised. Out-of-scope requests go through a change request before work begins — no exceptions, but you handle it in a way that strengthens the relationship rather than straining it. Handle the operational details that matter. Accurate invoicing, timely collections follow-up, clear project health reporting to leadership. These aren't glamorous, but you don't let them slide. Work fluently with AI tools. Our delivery model integrates AI across engineering execution, SOW development, discovery, and internal processes. You won't be learning to tolerate this — you'll be coordinating and leveraging it as a natural part of how you work every day. What We're Looking For Must-haves: - 4+ years in a client-facing project management or customer success role in software services or consulting - Working knowledge of Salesforce and/or MuleSoft — you're not writing code, but you understand what's being built, speak the language credibly, and know when something is harder than estimated or outside scope - Proven ability to manage multiple concurrent projects without dropping balls or sacrificing responsiveness - Exceptional communication — clear, concise, confident, and warm. Written and verbal. - A genuine bias for action — you respond quickly, make decisions, and keep things moving without waiting to be told Even better if you have: - Hands-on experience with Salesforce and/or MuleSoft — you've worked directly in the tools, not just alongside them. - Experience with Agile or sprint-based delivery in a services context - Background in SOW-driven engagements where you've managed scope, change requests, and project-based billing How You'll Be Measured - Client satisfaction scores - On-time, on-budget delivery rate - Scope control and change request compliance - Invoice accuracy and collections timeliness - Responsiveness and turnaround time - Project portfolio health and quality of executive reporting Why Green Irony Most consulting companies talk about AI. We built our entire delivery model around it — and it's changing what's possible in this space. You'd be joining a company at the frontier of how professional services actually get delivered, not one that's bolting ChatGPT onto old processes and calling it innovation. That means the role itself is different. You're not just managing projects the traditional way with more tools. You're coordinating a delivery model that blends human engineers with AI-powered capabilities in ways that most of the industry hasn't caught up to yet. If that sounds exciting rather than intimidating, you'll fit right in. We're growing, we move fast, and we take care of the people who help us win. Remote - USA $95,000—$115,000 USD Transform Your Career — the AI-First Way At Green Irony, you… - Take full ownership of your work—proactively solve problems and drive deliverables to completion. - Relentlessly pursue outcomes, measuring success by delivered value, not just output. - Solve complex problems with practical, innovative solutions. - Communicate directly, transparently, and with positive intent—focusing on clarity, not politics. - Grow continuously—mentoring, learning, and automating to expand your impact. Benefits Snapshot - Competitive salary + performance bonus - Medical, dental, and vision coverage - 401(k) with generous company match - Flexible PTO and remote-first work environment - Annual professional development budget (certifications, conferences, AI tools) - Equipment stipend Equal Opportunity, Zero BS Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes. We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification—because the only bias we tolerate is toward delivering excellent work.

• Build and deepen relationships with MuleSoft and Salesforce AEs, RVPs, SEs, and success professionals • Co-sell around real customer outcomes using MuleSoft technology • Proactively engage partners through email, LinkedIn, and direct outreach • Run tight, high-velocity sales cycles — advance deals weekly or kill them • Partner with Solutions and Delivery to shape clear scope and fast SOWs • Keep pipeline, forecasting, and next steps clean and current

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many. What You'll Own - Client Delivery Ownership: - Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT). - Stakeholder Management (exec → dev): - Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery. - Scope Discipline: - Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship. - Autonomous Execution: - Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you. Key Responsibilities - Technical Delivery: - Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem). - Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins). - Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption). - Monitor and optimize integrations for performance, scalability, and maintainability. - Client-Facing Services Delivery: - Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client. - Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business. - Proactively communicate status, risks, and decisions — updates go out without being asked. - Build trusted relationships that make scope conversations easier, not harder. - When scope creeps (and it will), you call it — with a path forward, not just a flag. - Leadership & Collaboration: - Provide coaching and technical guidance to engineers; lead code reviews and process improvements. - Operate as a peer, not a manager — lift standards through quality of work and direct feedback. - Innovation & AI: - AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. - Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation. - Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team. Ways of Working - The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client. - WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do. - If you've always been three steps ahead of your own deadlines, you'll feel right at home. Qualifications - 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. - Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin. - Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns. - Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ. - Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. - You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation. - Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies. - Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices. - Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions. - MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred. Preferred/Bonus - Experience integrating Salesforce, AWS, or other SaaS/ERP platforms. - Familiarity with event-driven architectures (Kafka, Pub/Sub). - Hands-on experience or strong interest in AI/ML pipeline design or integration. Benefits - Competitive salary + performance bonus - Medical, dental, and vision coverage - 401(k) with generous company match - Flexible PTO and remote-first work environment - Annual professional development budget (certifications, conferences, AI tools) - Equipment stipend Company Description Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes. We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification—because the only bias we tolerate is toward delivering excellent work.