Jobs in the United States

25+ jobs

Save this search

Added just now
Software Engineer, Systems ML
Meta
Hartford, CT
Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural…
Added just now
AI Engineer II
Deloitte
Stamford, CT · Hartford, CT
As an AI and Data Science Engineer II on the HC Forward team, you will be responsible for designing, building, and running the trusted, governed data, feature, and retrieval layer used by…
Added just now
Tester (Remote)
GovCIO
Hartford, CT
Test machine learning and deep learning features, especially the large language models and vision models behind OCR and intelligent document processing (IDP). Build and maintain…
Added 11 mins ago
CT Image Quality Algorithm Engineer
GE HealthCare
Waukesha, WI
The CT Image Quality Algorithm Engineer works in close collaboration with a cross-functional team made up of engineers, scientists, product management, clinical applications, researchers,…
Added 11 mins ago
Software Engineer, Systems ML
Meta
Madison, WI
Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural…
Added 11 mins ago
Tester (Remote)
GovCIO
Madison, WI
Test machine learning and deep learning features, especially the large language models and vision models behind OCR and intelligent document processing (IDP). Build and maintain…
Added 15 mins ago
Staff Robotics Software Engineer, Perception & AI
Symbotic LLC
USA Wilmington, MA
Experience building automated data or machine learning pipelines, intelligent agents, robot learning systems, automated labeling workflows, or related autonomy capabilities.
Added 15 mins ago
NO
E&A Technician -Night Shift
Nestle Operational Services Worldwide SA
Glendale, AZ
- $44.8 USD / hour
…collaborative environment encourages bold ambitions and continuous learning so that everyone can grow and…
Added 23 mins ago
TV
Staff Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $325,000 to $410,000 USD / year
We look for engineers who are motivated by solving complex problems through strong fundamentals and thoughtful system design. You’ll work in a highly collaborative environment that values…
Added 30 mins ago
K
Manager F5 & Application Delivery Operations
Kforce
Englewood, CO
- $60 to $79 USD / hour
Experience leveraging AI and machine-learning insights for infrastructure monitoring, performance optimization, and predictive operations
Added 38 mins ago
O
Lead Principal Data Systems Software Engineer
Oracle
Pleasanton, CA · Redwood City, CA
- $122,800 to $306,400 USD / year
…across multiple product areas. Applies in-database analytics and machine learning to differentiate value and reduce latency. Sets service-level objectives and enforces them via testing and…
Added 49 mins ago
VI
AI/ML Engineer Team Lead
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
Lead the architecture, development, deployment, and operation of enterprise-grade AI and machine learning solutions.
Added 58 mins ago
Senior Principal Machine Learning Engineer
COTIVITI, INC.
SOUTH JORDAN, UT
Added 58 mins ago
AI Engineer III
University of Utah Health
SALT LAKE CITY, UT
Conducts research to stay current with the latest advancements in AI and machine learning.
Added 1 hour ago
Senior Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco
Reston, VA
2+ years' experience in Generative and Agentic AI, machine learning platforms, container orchestration (Kubernetes), and event-driven architectures across cloud-native + hybrid platforms…
Added 1 hour ago
Staff Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco
Reston, VA
3+ years' experience in Generative and Agentic AI, machine learning platforms, container orchestration (Kubernetes), and event-driven architectures across cloud-native + hybrid platforms…
Added 1 hour ago
Lead Software Engineer - Java, Kafka, AWS
JPMC page
Tampa, FL
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Added 1 hour ago
Principal AI Data Science Engineer, Go-To-Market
MiniMed
Northridge, CA
As Principal AI Data Science Engineer, Go-to-Market Analytics, you will apply statistical modeling, machine learning, and forecasting to customer, market, and commercial data. Your work…
Added 1 hour ago
Engineer VI
General Atomics
Poway, CA
The ISR Capability Project Engineer will lead integrated systems-of-systems development, including architecture definition, functional decomposition, mission-thread development, system…
Added 1 hour ago
Senior Software Engineer, AI/ML, Youtube Ads Creative Optimization
Google
Mountain View, CA
3 years of experience building and productionizing machine learning models, with experience in deep learning or reinforcement learning.
Added 1 hour ago
Robotics Embedded Software Tech Lead, DeepMind
Google
Mountain View, CA
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As…
Added 1 hour ago
Full Stack Software Engineer, Google Photos
Google
Mountain View, CA
…including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and…
Added 1 hour ago
System Development Engineer, Google Cloud, Silicon
Google
Sunnyvale, CA
Share System Development Engineer, Google Cloud, Silicon
Added 1 hour ago
ML Innovation for Products, PhD Research Intern
Meta
Menlo Park, CA · Sunnyvale, CA
The ML Innovation for Products (MLIP) team is an applied machine learning and research team within Meta's Ranking & Foundational AI org, focused on the state-of-the-art (SOTA) 0-to-1 ML…
Added 1 hour ago
Cyber Systems Engineer/Principal Cyber Systems Engineer
Northrop Grumman
San Diego, CA
We are looking for you to join our team as a Cyber Systems Engineer/Principal Cyber Systems Engineer based out of San Diego, CA . As a Cyber Systems Engineer/Principal Cyber Systems…

Fin

Forward Deployed Engineer

San Francisco, CA, United States

The base salary range for candidates within the San Francisco Bay Area is $180,000 - $237,000.

Apply About employer

Applications open in a new tab.

Job details

Pay: The base salary range for candidates within the San Francisco Bay Area is $180,000 - $237,000.
Posting language: English
Posted: Oct 30, 2026

Original job description

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.

Apply About employer

Report this job