Senior
Intercom- On-target earnings
- $149k–$177k Published OTE range
- Location
- Hybrid - San Francisco, CA, 3 days/week Remote eligibility
- Employment
- Full-time Senior
About the job
About the role
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.
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.
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.
- 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.
Show the rest of How Will I Be Measured?
Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $148,500-$177,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
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.
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.
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