Forward Deployed Engineer Jobs

About The Position

Requirements

• 3+ years (6-10 years for Senior levels) of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models
• A degree in Computer Science or a related field
• Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have.
• Fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands.
• Hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
• Understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
• Can hold your own in a room with sales teams and customer architects.
• Ship quality code and evaluate AI outputs with engineering rigor.
• Actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
• Thrive in the group chat that's building something, not just talking about it.
• Excited to travel ~25% of the time, working directly alongside customers.

Nice To Haves

• Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
• Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
• Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
• Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments

Responsibilities

• Develop AI agents and experiences that take real actions for real organizations.
• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
• Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms.
• Model the data, ship the pipeline, validate the output
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
• Co-build alongside customers and partners, sharing best practices and enablement as you go.
• Leaving teams more capable after each engagement than before.
• Surface platform gaps, edge cases, and field insights to senior Engineers and the product team.
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program