Is the Senior AI Deployment Consultant role remote?

It's hybrid — Intercom expects some on-site time in Sydney, Australia.

How much experience is required?

At least 5 years of relevant experience for this Senior AI Deployment Consultant role.

Where is the role based?

Intercom is hiring for this position in Sydney, Australia.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, APIs, Fin, Intercom Helpdesk, Salesforce, Zendesk.

What seniority level is this role?

Intercom targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Senior AI Deployment Consultant role at Intercom.

Senior AI Deployment Consultant at Intercom

Joblaze summary

In the role of Senior AI Deployment Consultant at Intercom, the individual will manage complex customer deployments of the Fin platform, ensuring timely and effective implementation. Key skills include hands-on technical configuration, project management, and the ability to navigate customer requirements while collaborating with engineering teams. This position is ideal for someone with over five years of experience in customer-facing roles, particularly within SaaS or AI environments, who excels in a fast-paced, evolving landscape.

Joblaze insights

Listed yesterday on Joblaze — tracked directly from Intercom's career page.
Intercom has 132 other open roles including Senior Forward Deployed Product Manager , Senior Product Marketing Manager, Staff Engineer - Web Platform.
5148 active AI/ML roles on Joblaze right now.
1198 active Salesforce roles on Joblaze right now.
488 active APIs roles on Joblaze right now.
Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends

Quick facts

Is the Senior AI Deployment Consultant role remote?: It's hybrid — Intercom expects some on-site time in Sydney, Australia.
How much experience is required?: At least 5 years of relevant experience for this Senior AI Deployment Consultant role.
Where is the role based?: Intercom is hiring for this position in Sydney, Australia.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, APIs, Fin, Intercom Helpdesk, Salesforce, Zendesk.
What seniority level is this role?: Intercom targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior AI Deployment Consultant role at Intercom.

From the original posting

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.

Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.

Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.

What's the opportunity?

It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI.

You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence.

What will I be doing?

Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state.
Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols.
Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.

What skills do I need?

5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this.
Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

How Will I Be Measured?

Automation Rate - Are you driving your customers to achieve high adoption of Fin?
CX Score — do customers rate the deployment experience highly?
On-time, on-budget delivery — do your projects land against the timeline and scope you committed to?
Time-to-value — how quickly do customers get to a working, measurable Fin deployment?
Contribution to the team — the templates, mentorship, and best practices you leave behind.

#LI-Hybrid

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Senior AI Deployment Consultant

What's the opportunity?

What will I be doing?

What skills do I need?

How Will I Be Measured?

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