Lead Software Engineer, AI Workflow Generation (Agentforce Operations)

Momentum; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Leadout Capital, operating as a startup within Salesforce, seeks an SLead AI Software Engineer to drive Agentforce Operations and build intelligent agents that automate and optimize enterprise workflows at global scale.

You will lead architectural decisions, collaborate with Product Management and executives to shape multi-year technical roadmaps, and mentor engineers while engaging with customers to validate approaches.

Qualifications

• B.S. in Computer Science or equivalent with AI coursework; M.S. preferred.
• 5+ years (7-12 for Lead, 4-8 for Senior) of industry experience in Software Engineering with a focus on AI/ML.
• Proficiency in multiple languages such as Python, Go, Java, or C++.
• Strong background in APIs, data modeling, and databases.
• Demonstrated ability to work independently and collaboratively in a dynamic environment.
• Expertise in model evaluation and automated testing, including production telemetry and data drift.

Responsibilities

• Drive ongoing development of intelligent agents that capture how a customer runs their business today, propose improvements, and turn results into executable blueprints of tasks.
• Lead architectural decisions for distributed systems serving millions of users with 24/7 availability.
• Design and implement planning systems that enable agents to execute multi-step workflows autonomously.
• Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps.
• Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks.
• Mentor engineers to improve code quality, AI/ML practices, and system design.

Skills

Python

Go

Java

C++

APIs

Data modeling

Databases

AI/ML

Mentoring

Education

B.S. in Computer Science or equivalent with AI coursework (M.S. preferred)

Tools

Splunk

AWS

GCP

Job description

The Experience

Join a high-velocity team with deep startup roots. Following our recent acquisition, we operate as a startup-within-Salesforce, managed by the same founders and engineers who built the original company. You get the autonomy of a small team, backed by Salesforce's Data Cloud and security infrastructure, to build a 0-to-1 product at global scale.
Global supply chains still run on email, spreadsheets, and fragmented data. The economy moves fast; supply chains don't. That gap sits on top of the $13T of goods shipped annually, one of the largest untapped opportunities in enterprise software.
Agentforce Operations is an AI-powered platform for designing, automating, and running end-to-end business processes, with collaboration through familiar channels like email. For Salesforce, it's a back-office growth opportunity with innovations that flow into the front office. Customers are already expanding their use cases faster than we can ship. As one user put it: 'I've been waiting for this for 20 years.'

What You’ll Actually Be Doing

As a SLead AI Software Engineer on the Agentforce Operations Process Generation Team, you will drive the ongoing development of our agents. They capture how a customer runs their business today, propose improvements, and turn the result into an executable blueprint of agent and human tasks. The agents plan the work ahead of time and execute on that plan, delivering consistency, correctness, and automation at scale.
Drive Agent Development & Architecture

• Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
• Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability
• Design and implement planning systems that enable agents to execute multi-step workflows autonomously

Lead Technical Strategy

• Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps
• Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks
• Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices

Mentor & Collaborate

• Mentor engineers to improve code quality, AI/ML practices, and system design
• Collaborate with cross-functional teams including Design, Product Management, and industry experts to build high-quality product features
• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment
• Engage directly with customers to gather insights and validate technical approaches
• Participate in hiring decisions and contribute to our culture of continuous learning

You’re Our Person If...

• B.S. in Computer Science or equivalent with coursework in Artificial Intelligence (M.S. preferred)
• 5+ years (7-12 for Lead, 4-8 for Senior) of industry experience in Software Engineering, with a focus in AI/ML
• Proficiency in multiple programming languages such as Python, Go, Java, or C++
• Strong background in APIs, data modeling, and databases
• Demonstrated ability to work both independently and collaboratively in a dynamic environment
• Expertise in model evaluation. You have a track record of designing custom benchmarks and automated testing suites for complex models, including the integration of production telemetry to monitor live model performance and data drift.

Even Better If...

• You understand current LLM orchestration frameworks and have moved past them when necessary
• Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
• A proven collaborator who can manage stakeholders and drive consensus across diverse engineering and product teams.
• Experience with enterprise-grade observability tools (e.g., Splunk) and cloud infrastructure (AWS/GCP).