Hi! I'm Ryan, the Head of Marketing at Modash. I'm looking for a GTM Engineer to join our marketing team for the first time. Here's a little background, examples of the things you might work on, and things you probably want to know. Background & reason for hiring There are two major gaps in our team that are driving this hiring decision: The first is a gap in ownership between marketing & sales around call bookings. For context, we have a hybrid go-to-market that includes both self-serve free trials, and sales-led demo calls. Marketing is responsible for all pipeline generation (both trial & call booking KPIs), but there isn’t one clear person responsible (in either marketing or sales) for various things on the call bookings side. Things like: - How do we qualify demo requests? Who should our sales team spend their time with? - What happens when we decline a demo request? Is the user experience as good as it should be? - Improving the percentage of ICP trial sign ups who book with sales (since sales-closed deals are more likely to close, adopt, and retain long-term). The second gap relates to outbound. We’ve grown to 8-figure ARR solely with inbound marketing, but now it’s time to introduce outbound. I've already taken the first steps to get off the ground, but this needs dedicated ownership to make it world-class. I believe these two things can be handled together by the right person! Scope of the role & example projects The background above covers the broad scope pretty well, but here I'll elaborate a little more on what these initial projects might look like for you. Example 1: Taking ownership of call qualificiation We use a custom internal AI tool (lovingly referred to as “Leadgate”) that sits in front of our demo booking flow. Your job will be to own this end-to-end. You’ll need to collaborate with leadership to iterate on how we qualify calls, and what kind of prospects make the most sense to spend human sales time with. You’ll also own our demo booking page. The copy, the design, the form fields, everything. That means you can test & iterate on what expectations we set, what information we gather, and how that is used to route demos. Example 2: Building the “rejection experience” We want to focus our human sales time on ICPs, which means declining some demo requests (as above). However, “non-ICP” doesn’t mean “gets zero value from Modash”. We want to route those people through self-serve, with the best possible experience. Currently, the experience & flow is simply not good enough — because, once again, nobody owns it. You could create resources, implement demos with AI agents, write better copy, imagine new flows, and more. The goal is to improve brand perception, and increase self-serve revenue from non-ICP segments. Example 3: Taking ownership of the cold outbound program Our outbound cold email program is being run by an external agency, managed by me. Initially, it will be your job to replace me as their point of contact. That includes, for example: - Approving outreach lists - Approving / writing email copy - Strategizing new ideas (e.g. what happens when folks respond negatively) - Ensuring everything runs smoothly & quickly with positive replies Further into the future, you will decide how things run. You can double-down and scale with external agencies, you can build in-house, or a mix. Example 4: Reaching out to ICPs who start trials, but don’t book calls Approximately 10% of trial sign ups that we identify as ICP speak to the sales team. We believe that there’d be significant business impact if we can increase that. Currently, absolutely nothing is being done here. It’s a blank slate for you to come in and figure it out. Team structure To clarify again, this role is in the marketing team. You will report to me (Ryan), your primary KPIs will be around API call bookings, and you’ll collaborate often with the sales team. A few more things that may be useful to know about the team: - Our early-stage outbound project is currently ran by an external agency - We have a full-time software engineer in the marketing team (e.g. for iterations on Leadgate) - You will always write copy yourself; no assistance from a copywriting resource - We have a Product Marketer who will provide product messaging guidance where needed - Our CRM is managed by Steven Perroto (sales team); you will likely collaborate closely

• Tackle intricate technical challenges with persistence and creativity. • Design and implement elegant solutions that bridge front-end experiences with robust back-end systems. • Craft clean, efficient code in React, Vue, Angular, Java, and Node.js that solves real customer problems. • Take point on development initiatives while ensuring adherence to standards and quality. • Guide junior engineers by sharing your problem-solving approach and technical insights.

Role Description As a member of the Enterprise Product Development Team, the Senior AI Software Engineer designs and builds intelligent, AI‑powered conversational platforms and automation solutions. This role focuses on applying large language models (LLMs) to real‑world use cases such as chat experiences, document understanding, and workflow automation. The Senior AI Software Engineer collaborates closely with product, engineering, and platform teams to deliver secure, scalable, and reliable AI solutions that improve how employees and clients interact with benefits and enterprise systems. - Design and build AI‑powered conversational and automation platforms used in production - Develop and maintain Retrieval‑Augmented Generation (RAG) pipelines for complex content such as benefit documents and policies - Build intelligent agents that automate multi‑step business workflows - Integrate large language models (LLMs) into enterprise and legacy systems in a secure and compliant way - Implement guardrails, monitoring, and human‑in‑the‑loop checkpoints to ensure AI outputs are reliable and auditable - Improve AI response quality through prompt engineering, testing, and optimization - Design data ingestion pipelines to process unstructured content like PDFs and benefit summaries - Apply modern retrieval techniques (vector search, keyword search, re‑ranking) to improve answer accuracy - Deploy AI solutions using cloud‑native architectures (serverless and container‑based) - Monitor and optimize system performance, latency, and cost - Participate in design discussions and contribute to technical decision‑making - Mentor team members and share best practices - Perform other job‑related duties as assigned Qualifications - Strong software engineering experience with Python and/or JavaScript - Hands‑on experience building AI or machine‑learning powered applications - Experience working with LLMs, embeddings, and vector databases - Familiarity with RAG architecture and modern AI tooling - Experience deploying and operating services in the cloud (AWS preferred) - Understanding of secure system design and enterprise integrations - Strong communication skills and ability to work cross‑functionally - Ability to work in an agile, fast‑paced environment Requirements - Bachelor’s degree in Computer Science, Engineering, or a related field preferred, but not required - Equivalent professional experience accepted in place of a degree - 6+ years of professional software engineering experience - Experience building and supporting production systems - Experience in healthcare, benefits, or other regulated industries is a plus Disclaimer This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve. Company Description Empyrean is an Equal Opportunity Employer: including disability and protected veteran status.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. We're hiring a Director of GTM Engineering leader to own and transform the technology backbone of our go-to-market engine. This role sits at the intersection of our Data & AI, Revenue, and Growth teams. Your mandate: evolve our stack from high-performing to best-in-class - more automated, easier to monitor, and tightly connected to our Data & AI platform. What You'll Do Own the GTM architecture end-to-end - Take technical ownership of Salesforce (revenue and CRM), Marketo, and connected tools including Demandbase, data enrichment, the data warehouse, analytics, and sales engagement platforms. - Define and maintain a clear target architecture for how ads, web, marketing technology, CRM, data, and AI systems work together. Make the stack AI- and experiment-ready - Streamline how signals and events flow from ad platforms through Marketo and Salesforce into reporting - standardizing integrations and patterns along the way. - Design the foundations for AI-powered growth: reliable event streams, data contracts, and APIs that support AI agents and analytics. Build and lead the team - Hire and lead a small, high-caliber engineering pod focused on revenue and marketing systems. - Own a roadmap that balances quick wins (smoother automation, cleaner lead flows, clearer attribution) with longer-term platform investments. Partner deeply with GTM stakeholders - Work with Growth Product, Growth Marketing, Revenue Systems, and regional Revenue Operations to turn GTM strategies into scalable systems and data flows. - Improve lead routing, experimentation frameworks, ideal customer profiling, and lifecycle management across the funnel. Raise the bar on quality and reusability - Set standards for data governance, tracking, attribution, retention, and privacy/deletion workflows across tools. - Implement monitoring, alerting, and QA so the health of GTM systems is transparent and issues surface early. - Shift from one-off campaign builds to reusable templates, components, and integration patterns. Who You Are - GTM systems engineering leader. 15+ years in software or data engineering with experience owning or building GTM, revenue, or marketing systems for high-growth B2B SaaS, fintech, or similar environments. - Hands-on architect who ships. Comfortable with APIs, data models, workflow engines, and code. You can design systems, run reviews, and still contribute production-quality work. - Salesforce and marketing automation expert. You've built or significantly improved lead routing, attribution, lifecycle funnels, and data enrichment in Salesforce, and integrated Marketo (or equivalent) with CRM and downstream data systems. - Data- and experimentation-native. You partner well with Data teams on metrics, attribution, and experimentation, designing GTM tooling around feedback loops and continuous learning. - Cross-functional leader. You translate executive-level goals into clear roadmaps and milestones, earning trust with senior leaders, Revenue Operations, and individual contributors across Engineering, Marketing, and Sales. Minimum Qualifications - 10+ years in software and/or data engineering, including 5+ years owning or building GTM, revenue, or marketing systems. - Proven technical ownership across Salesforce, marketing automation (Marketo or similar), and data/analytics platforms. - Strong system design skills and hands-on experience with APIs, data pipelines, and workflow engines. - Demonstrated ability to lead small, high-impact engineering teams and deliver complex GTM system improvements. - Excellent communication and stakeholder management with senior business and technical partners. Preferred Qualifications - Experience in fintech, payments, or financial infrastructure - ideally with regulatory and data-localization exposure. - Prior work with AI/ML-driven GTM (e.g., AI agents for analytics, lead scoring, or workflow automation). - Experience standing up a new function or team (e.g., Revenue Systems Engineering, Marketing Tech Engineering) from an early stage. - Background in high-growth, experimentation-driven environments with tight feedback loops between Product, Data, and GTM. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid