At a Glance
- Tasks: Lead complex AI deployments and ensure customer success with innovative tech solutions.
- Company: Join Fin, part of Salesforce, a leader in AI-powered customer experiences.
- Benefits: Enjoy competitive pay, hybrid work options, and a supportive culture focused on wellbeing.
- Other info: Dynamic team environment with opportunities for growth and mentorship.
- Why this job: Be at the forefront of AI transformation and make a real impact on customer service.
- Qualifications: 5+ years in customer-facing roles with strong technical and project management skills.
The predicted salary is between 118800 - 145200 $ per year.
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.
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.
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.
- 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.
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.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
Senior AI Deployment Consultant in Sydney employer: Fin. The highest performing Customer Agent
At Fin, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our hybrid working policy allows for flexibility while ensuring team cohesion, and we are committed to supporting your professional growth through mentorship and development opportunities. With a focus on diversity and inclusion, we create a welcoming environment where every employee can thrive and contribute to delivering outstanding customer experiences.
Contact Details:
Fin. The highest performing Customer Agent Recruitment Team
