Forward Deployed Engineer, Agent Studio
Description
Forward Deployed Engineer, Agent Studio
Location - San Francisco, CA - (Hybrid – 3+ Days Per Week)
Compensation - $215,000 – $300,000 Base + Competitive Equity
Visa - Visa Sponsorship Available (New H1B, H1B Transfers, TN, Eligible Visa Types)
Company Stage - Series B ($70M+ Raised)
Industry - Artificial Intelligence, AI Agents, Agentic AI, Sales AI, Enterprise SaaS, Developer Tools, Productivity Software
About the Company
The company is building one of the world's leading AI-native platforms transforming how go-to-market teams operate through autonomous AI agents.
Its Agent Workspace enables AI agents to automate complex sales workflows including prospect research, account strategy, outbound messaging, follow-ups, call preparation, and revenue operations. Today, more than 1,500 customers—including Notion, HubSpot, Cursor, Rippling, Deel, and ZoomInfo—use the platform to dramatically improve sales productivity and automate repetitive GTM work.
Backed by Kleiner Perkins, Lachy Groom, and Tola Capital, the company has raised over $70M and has tripled ARR for three consecutive years while becoming one of the fastest-growing AI companies in enterprise software.
As a Forward Deployed Engineer, you'll work directly with enterprise customers to deploy, iterate, and improve production AI agents while partnering closely with Engineering, Product, Sales, and Leadership. You'll own customer outcomes end-to-end by rapidly building, shipping, evaluating, and improving AI agents that directly impact revenue generation.
This is an exceptional opportunity to join a category-defining AI company where Forward Deployed Engineers operate with founder-level ownership, combining deep technical engineering expertise with customer-facing product execution to shape the future of autonomous AI agents.
What You'll Do
- Deploy and continuously improve production AI agents directly with enterprise customers
- Build AI agents across prospecting, account strategy, outbound messaging, follow-ups, and sales workflows
- Embed deeply with enterprise customers through Slack, meetings, and rapid iteration cycles
- Own customer deployments from implementation through measurable business outcomes
- Design, build, and improve prompt engineering, tool integrations, agent workflows, evaluations, and trust calibration
- Ship production improvements rapidly in response to customer feedback and real-world usage
- Build scalable agentic workflows using Python, TypeScript, Node.js, and modern LLM tooling
- Partner closely with Engineering, Product, and Leadership to translate customer feedback into product improvements
- Design evaluation frameworks for AI agents and continuously improve production performance
- Troubleshoot complex customer environments and solve ambiguous technical problems
- Balance customer-specific needs with scalable product improvements
- Operate with high ownership while helping define the future of AI-native enterprise software
Ideal Candidate Background
Experience Requirements
- 3–8 years of software engineering experience
- Experience as a Forward Deployed Engineer, Founding Engineer, Product Engineer, or Full-Stack Engineer
- Experience building and shipping production AI agents or agentic workflows
- Experience working at AI-native startups, growth-stage startups, or AI teams within major technology companies
- Experience owning customer-facing deployments end-to-end
- Experience working directly with enterprise customers in highly technical environments
- Strong startup ownership mentality with demonstrated product execution
- Experience building 0→1 products with significant autonomy
- Experience collaborating closely with Product, Engineering, Sales, and Executive Leadership
- Previous founding engineer or technical founder experience is a strong plus
Technical Requirements
- Strong software engineering fundamentals across full-stack product development
- Strong proficiency in Python, TypeScript, and Node.js
- Experience building production AI agents using modern LLMs
- Strong prompt engineering, tool calling, agent orchestration, evaluations, and trust calibration experience
- Experience deploying production AI systems to external users
- Familiarity with modern AI frameworks, APIs, and agent architectures
- Experience rapidly iterating production AI systems based on customer feedback
- Strong understanding of distributed software systems and production engineering
- Comfortable working across engineering, customer success, and product functions
- Ability to quickly solve ambiguous customer problems with production-quality software
Education
- Bachelor's degree in Computer Science, Engineering, or another technical discipline preferred
- Strong engineering background with demonstrated product-building ability
- Exceptional candidates with outstanding startup engineering experience considered
Soft Skills
- Outstanding communication skills
- High ownership mentality
- Founder mindset
- Excellent customer-facing communication
- Comfortable operating with ambiguity
- Strong cross-functional collaboration
- Startup mindset with high execution velocity
- Structured problem solver
- Product-minded engineer
- Passion for AI-native software and autonomous agents
Compensation & Benefits
- Base Salary: $215,000 – $300,000
- Competitive Equity Package
- Visa Sponsorship Available
- Hybrid work model (3+ days/week in San Francisco)
- Opportunity to build production AI agents used by leading enterprise customers
- Direct collaboration with founders and executive leadership
- Significant ownership across customer deployments and product direction
- High-impact startup culture with exceptional career advancement
- Well-funded Series B company with exceptional growth trajectory
- Opportunity to help define the future of AI-powered sales automation
Why Join
This is an opportunity to help build one of the most advanced AI agent platforms transforming enterprise sales.
You'll work at the intersection of AI agents, LLMs, product engineering, enterprise deployments, customer success, and software engineering while building production AI systems that directly impact customer revenue.
As a Forward Deployed Engineer, you'll combine deep engineering with customer-facing ownership, rapidly shipping AI agent improvements, influencing product strategy, and helping shape the future of autonomous enterprise software.