Forward Deployed Engineer, Agent Studio

Worky; San Francisco (CA); Hybrid; USD 215,000 - 300,000; Full time

Job summary

Worky in San Francisco is seeking a high-ownership, customer-facing engineer to own the end-to-end deployment of AI agents for design-partner customers, driving measurable revenue outcomes. You will embed with customers, iterate rapidly, and partner with sales, product, and engineering to ship production-grade AI workflows with GM-level accountability for results.

The role rewards practical engineering, problem solving, and a bias for action in a fast-growing AI-native sales SaaS environment.

Qualifications

• 5+ years of engineering experience, ideally as a technical founder, founding engineer, or forward-deployed engineer at a high-bar company.
• 3+ years of hands-on experience building and shipping production AI agents or agentic workflows to external users as an individual contributor.
• Demonstrated proficiency in prompt engineering, tool use, evals, and trust calibration for production AI systems.
• Background in AI engineering at a recognized growth-stage startup or large tech company.
• Proficiency in Node.js, TypeScript, and Python.
• Direct experience troubleshooting with enterprise customers across complex, ambiguous tech stacks.
• A track record of shipping production code — not consulting-only or configuration-focused roles.
• Comfortable operating with ambiguity and driving outcomes without heavy process or manager direction.
• Strong CS fundamentals — technical degree or equivalent demonstrated foundation.
• Nice to have: 0-to-1 product ownership as a technical founder or early engineering hire; familiarity with GTM, sales workflows, or revenue-generating systems.

Responsibilities

• Deploy and rapidly iterate on AI agents covering account strategy, prospecting, outbound emails, LinkedIn outreach, call prep, and follow-ups — targeting step-change improvements in customer pipeline metrics within trial periods.
• Embed deeply with customers through shared channels, calls, and tight feedback loops, translating field observations into agent improvements within days.
• Build agents that fully automate nuanced SDR workflows, with clear evals, trust calibration, and the ability to improve over time.
• Own deployment outcomes end-to-end with GM-level accountability for customer revenue numbers.
• Serve as the bridge between sales teams, engineering, and leadership — communicating agent capabilities, surfacing customer needs, and reporting deployment status fluently across all three audiences in a single day.

Skills

Engineering experience

AI agents experience

Prompt engineering

AI engineering background

Node.js

TypeScript

Python

Enterprise troubleshooting

Production code shipping

Ambiguity tolerance

CS fundamentals

Education

CS degree

Job description

About the Role

This is a high-ownership, customer-facing engineering role at a fast-growing AI-native sales SaaS company. You'll own the end-to-end deployment of AI agents directly with design partner customers, driving measurable revenue outcomes. It's a rare seat that combines deep technical work, direct customer embedding, and product influence — with no established playbook and high expectations for impact.

What You'll Do

• Deploy and rapidly iterate on AI agents covering account strategy, prospecting, outbound emails, LinkedIn outreach, call prep, and follow-ups — targeting step-change improvements in customer pipeline metrics within trial periods.

• Embed deeply with customers through shared channels, calls, and tight feedback loops, translating field observations into agent improvements within days.

• Build agents that fully automate nuanced SDR workflows, with clear evals, trust calibration, and the ability to improve over time.

• Own deployment outcomes end-to-end with GM-level accountability for customer revenue numbers.

• Serve as the bridge between sales teams, engineering, and leadership — communicating agent capabilities, surfacing customer needs, and reporting deployment status fluently across all three audiences in a single day.

What We're Looking For

• 5+ years of engineering experience, ideally as a technical founder, founding engineer, or forward-deployed engineer at a high-bar company.

• 3+ years of hands-on experience building and shipping production AI agents or agentic workflows to external users as an individual contributor.

• Demonstrated proficiency in prompt engineering, tool use, evals, and trust calibration for production AI systems.

• Background in AI engineering at a recognized growth-stage startup or large tech company.

• Proficiency in Node.js, TypeScript, and Python.

• Direct experience troubleshooting with enterprise customers across complex, ambiguous tech stacks.

• A track record of shipping production code — not consulting-only or configuration-focused roles.

• Comfortable operating with ambiguity and driving outcomes without heavy process or manager direction.

• Strong CS fundamentals — technical degree or equivalent demonstrated foundation.

• Nice to have: 0-to-1 product ownership as a technical founder or early engineering hire; familiarity with GTM, sales workflows, or revenue-generating systems.

Compensation & Benefits

Base salary range: $215,000 – $300,000 USD annually, plus equity. Visa sponsorship is not available for this role.

Location

Hybrid — San Francisco, CA. The team is in-office 3+ days per week; on-site presence in San Francisco is required.