Forward Deployed Engineer
Posted 3 days ago
The role in short
Embed with strategic customers to design, code, and deploy production AI agent integrations and solutions.
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?
As Fin becomes mission-critical for our most strategic customers, we’re growing our team of Forward Deployed Engineers to help bridge the gap between customer needs and product innovation.
As a Forward Deployed Engineer, you’ll work hands-on with strategic customers, partnering closely with our R&D and Go-to-Market teams to design and deliver high-impact solutions. You’ll go beyond implementation - helping shape product direction, influence roadmap decisions and ensure Fin delivers real, measurable business outcomes in complex, real-world environments.
If you’re excited by ownership, creativity and solving ambiguous problems, and want to work at the frontier of applied AI while collaborating with Product, Engineering and Go-to-Market teams, this role offers a rare opportunity to combine technical excellence with real customer impact.
What will I be doing?
- Drive adoption of Fin by helping customers unlock the power of our AI capabilities to automate and scale their support operations.
- Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide the insight needed to achieve outstanding results with Fin.
- Work hands-on with customers’ technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
- Collaborate closely with Sales, Success and Product teams to ensure seamless customer experiences, successful project delivery and actionable product feedback.
- Contribute to the evolution of Forward Deployed Engineering by codifying best practices and sharing insights from customer engagements to help the team scale and grow.
What skills do I need?
- A strong engineering background and experience building software with real-world usage. Experience building a SaaS product is a plus, but not a requirement.
- Interest in AI and machine learning, and the ability to quickly build an understanding of novel problems, capabilities and architectures - including their trade-offs and limitations.
- Strong cross-functional collaboration skills, with the ability to navigate organisational boundaries and bring people together to achieve the best outcomes for our customers.
- Deep knowledge of at least one high-level programming language, such as JavaScript, Python or Ruby. It doesn’t need to be a language we use today - great people learn quickly and can introduce us to better ways of working.
- The ability to prototype and ship software quickly while maintaining a high bar for quality and a clear focus on business goals and outcomes.
- Proficiency using and writing REST APIs to integrate systems effectively.
- Strong communication skills. You can comfortably discuss the same topics with engineers and non-technical audiences, adapting the depth and detail as needed.
- Willingness to travel and work on-site with customers to build strong relationships and deeply understand their needs.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the San Francisco Bay Area is $180,000 - $237,000. 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).
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.
Prep for this interview
3 questions likely to come up at Fin, each matched to a line in this posting.
- 1Integrations and APIs
They wrote: “Proficiency using and writing REST APIs to integrate systems effectively.”
Walk me through connecting our product to a customer's internal system that has no documentation.
How to answer
Why they ask: This happens weekly in the job. They want a calm, step-by-step method.
- Find who owns the system and get read access to a test environment
- Watch real traffic or logs to learn the data shapes
- Build a thin adapter with logging around every call
- Agree on how failures get reported, and who fixes what
Tip: Talk about finding the owner of the system first. The code is the easy part.
- 2LLMs, RAG and agents
They wrote: “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.”
A customer wants a chatbot over their internal documents. How do you build it?
How to answer
Why they ask: RAG is the most common first project. They want the whole path, from messy files to answers people trust.
- Collect and clean the documents; handle permissions per user
- Split them into chunks, embed, and store with source links
- Retrieve, then answer with citations; say “I don't know” when retrieval is weak
- Build a test set of real questions with expected answers before launch
Tip: Spend more time on the data and on testing than on the model.
- 3Travel
They wrote: “Willingness to travel and work on-site with customers to build strong relationships and deeply understand their needs.”
How do you handle being on the road with customers for weeks at a time?
How to answer
Why they ask: Many FDE roles involve regular travel. They check you know what you're signing up for.
- Your past travel or on-site experience
- How you stay productive away from the team
- What travel level works for you, said plainly
Tip: Be honest about what works for you. A mismatch here hurts both sides later.
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