[Hiring] Solutions Consultant @MoEngage Inc

Role Description

We are growing our Solutions Consulting team in ANZ and seeking someone who can serve as a trusted technical partner to prospects and customers throughout the sales cycle. The best people in this role are strong at value selling: finding the business value a prospect has not yet put into words for themselves, buried in their data, their customer journeys, or the gaps in their current stack, and building a case around it. But finding the value is only half the job. You also need the technical depth to walk that same prospect from the case you have built into exactly how MoEngage's platform and its AI decisioning engine deliver on it, not just gesture at the outcome.

This is a foundational hire for the region. You will have real input into how the ANZ Solutions Consulting practice takes shape, from the demo environments you build to the way discovery gets run.

Roles & Responsibilities

• Partner with Account Executives through the full sales cycle: discovery, solutioning, demos, proof of concepts, RFP responses, and handoff to the implementation team
• Run structured discovery conversations that uncover the business value a prospect has not yet articulated for themselves, in their data, workflows, or current tech stack, and build that into a clear value case
• Design and deliver product demonstrations that walk a prospect from that value case straight into the platform mechanics that deliver it, showing exactly how MoEngage's core capabilities and AI decisioning engine get them there
• Lead technical validations and proof of concepts that prove out the value case with the prospect's own data, working with engineering and solutions architecture where needed
• Write clear, accurate responses to RFPs and RFIs, including technical architecture and integration questions
• Build reusable assets such as demo scripts, discovery frameworks, and competitive positioning material
• Represent MoEngage at regional events, customer workshops, and webinars
• Share what you are hearing from the field with Product and Engineering
• Help onboard and support new team members as the ANZ team grows

Qualifications

• 3 to 6 years of experience in pre-sales, solutions consulting, technical account management, or a similar customer-facing technical role, ideally in MarTech, CDP, CEP, or broader SaaS
• Skilled in value selling. You can identify and articulate business value a prospect has not put into words yet, and build a case around it that resonates with different stakeholders
• Just as comfortable working backwards from that value case into the technical detail of how MoEngage's platform and decisioning engine actually deliver it
• Working knowledge of APIs, SDKs, webhooks, and basic data integration patterns such as REST and SFTP
• Comfort with SQL at a level that lets you dig into data questions during discovery or a proof of concept
• Strong presentation skills. You can take something technical and make it clear to a marketer, a product manager, or an engineer, depending on who is in the room
• A genuine interest in AI driven personalization and decisioning. You do not need a data science background, but you should be able to speak to it confidently
• Comfort working independently in a remote setup while staying closely connected to a global team across time zones
• Existing right to work in Australia
• Willingness to travel occasionally for customer meetings, workshops, and events
• Experience competing against or working alongside platforms like Braze, Adobe Campaign, Adobe Journey Optimizer, Salesforce Marketing Cloud, Iterable, CleverTap, Insider, Netcore, or WebEngage
• Familiarity with AI-first architecture patterns: event driven pipelines, real time feature stores, model serving, and how a decisioning engine plugs into a broader customer data stack
• Hands-on comfort with client-side integration nuances: mobile and web SDKs, push notification frameworks like APNs and FCM, webhooks, and REST or GraphQL APIs
• Exposure to concepts like propensity modeling, multi-armed bandits, or recommendation systems
• Understanding of how AI agents and workflow automation fit into a broader customer engagement architecture
• Background working with retail, fintech, media, or travel brands in ANZ

Benefits

• At MoEngage, we respect and value differences. We believe that when people from diverse backgrounds and perspectives collaborate, we create the most value – for our clients, our employees, and society.
• We embrace diversity and uphold a strong set of values. We are committed to inclusivity and take pride in providing equal opportunities for success and growth.
• Employment at MoEngage is based solely on professional competence, skills, and experience. We stand firmly against all forms of discrimination and support equal rights and opportunities regardless of gender, ethnicity, abilities, age, identity, orientation or expression, marital status (including pregnancy), religion and beliefs, or any other status protected by law.
• It is our policy to comply with all applicable national, state, and local laws related to non-discrimination and equal opportunity.