PubMatic

Forward Deployed Engineer

PubMatic$200K — $300K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of software engineering or technical deployment experience with customer-facing work.
  • Hands-on experience with modern AI tools like Claude, ChatGPT API, or similar frameworks.
  • Production experience with LLMs including prompt engineering and agent development.
  • Strong programming skills in Python.
  • Proven ability to deliver production-grade integrations in fast-paced environments.
  • Experience with enterprise platform integrations like Salesforce or Jira.
  • High agency and sound judgment in ambiguous situations.

Responsibilities

  • Own end-to-end technical delivery of AI workflow deployments from prototype to production.
  • Follow development guidelines to build and deploy AI agents and automation into operational systems.
  • Develop retrieval pipelines and structures tailored to business use cases.
  • Resolve readiness and integration issues to ensure solutions are production-ready.
  • Ensure deployed solutions meet enterprise reliability and performance standards.
  • Collaborate with functional leaders to identify impactful AI use-cases.
  • Translate business needs into technical designs while managing delivery timelines.

Benefits

  • Paid leave programs and holidays.
  • Comprehensive healthcare, dental, and vision insurance.
  • Disability and life insurance.
  • Commuter benefits and wellness programs.
  • Unlimited PTO, with encouragement to use it.
  • Mobile reimbursement and in-office catering five days a week.
Full Job Description
About the Role:

As a Forward Deployed Engineer (FDE) at PubMatic, you will sit at the intersection of software engineering and applied AI, embedded directly within GTM and operational teams to ship production-grade AI workflows. You will be delivering working agents, integrations, and automation that measurably improve productivity and decision-making inside real business processes.

Operating in a small pod model, you will own the full technical lifecycle: discovery, integration design, build, and production rollout. Initial focus areas include GTM functions where AI can automate analysis, generate insights, and streamline day-to-day operations.

This is a hybrid role based in New York, with proximity to PubMatic's GTM teams. On-site collaboration is expected for this role. Travel to Redwood City and other PubMatic locations may be required.

Your goal will be to automate entire job workflows, not just small tasks. For example, you would enable teams to 10X the amount of workload they can handle (such as 10X the number of deals managed per person, or 10X the number of DSP integrations per person) by building end-to-end agents that manage entire workflows or processes today allowing people to focus on customer interaction and exception handling. The definition of success for this role is workload ÷ team size.

What You'll Do:

Technical Delivery & Production Deployment
  • Own end-to-end technical delivery across multiple AI workflow deployments, from first prototype to stable production rollout.
  • Understand and follow PubMatic Agentic development guidelines, Guardrails, Evals, to Build and deploy AI agents, workflow automation, and integration pipelines directly into operational systems used by PubMatic business teams.
  • Develop MCP servers, sub-agents, retrieval pipelines, structured extraction templates, and supporting infrastructure tailored to each use case.
  • Resolve data readiness, permissions, and system integration blockers to ensure solutions are production-ready rather than experimental.
  • Ensure all deployed solutions meet reliability, latency, and observability requirements appropriate for enterprise operations.

Use-Case Discovery & Embedded Collaboration
  • Embed closely with functional leaders across GTM teams to identify and scope high-impact AI opportunities.
  • Define success criteria and measurable outcomes for each workflow in collaboration with business stakeholders.
  • Translate business requirements into technical designs, sequencing delivery to protect timelines and manage scope trade-offs.
  • Guide functional teams through AI adoption, building trust, reducing friction, and ensuring deployed solutions are actively used.

Platform & Repeatability Contributions
  • Codify deployment patterns, connector templates, evaluation frameworks, and observability standards into reusable "golden path" playbooks.
  • Feed field learnings back to PubMatic's internal AI platform teams to accelerate the broader AgenticOS buildout.
  • Contribute to evaluation design, precision/recall benchmarks, human review queues, audit trails, for each deployed workflow.
  • Maintain strong working knowledge of LLM capabilities, agent development frameworks, and the evolving enterprise AI tooling landscape.


Who You Are:

We are looking for engineers who think in terms of workflow multipliers, not feature additions. Your mandate is to automate entire job workflows, enabling teams to handle 10X the volume of deals, integrations, launches, and tickets without adding headcount. The definition of success for this role is workload ÷ team size.

Required
  • 2+ years of software engineering or technical deployment experience that includes direct customer-facing or embedded delivery work.
  • Hands-on experience with modern AI tooling including Claude, ChatGPT API, Notion AI, or comparable agent-development frameworks.
  • Production experience with LLMs: prompt engineering, agent development, retrieval-augmented generation, evaluation frameworks, and deployment at scale.
  • Strong programming proficiency in Python.
  • Demonstrated ability to ship production-grade integrations in fast-moving or ambiguous environments.
  • Experience building integrations with enterprise platforms such as Salesforce, Jira, or comparable CRM and workflow systems.
  • High agency and sound judgment under ambiguity: ability to scope work, sequence delivery, remove blockers, and protect timelines independently. You must be driven and a self-starter.
  • Strong communication skills: able to conduct discovery with business stakeholders, convey technical trade-offs clearly, and maintain alignment across engineering and functional teams.

Preferred
  • Experience working in an FDE, professional services, or embedded consulting capacity at an AI company, technology vendor, or consulting firm.
  • Background in deploying AI workflows into commercial functions such as sales, customer success, revenue operations, or trading desks.
  • Experience with evaluation-driven development: designing precision/recall benchmarks, building human review queues, and establishing audit trails for AI outputs.
  • Prior work at a company with a recognized FDE model (Palantir, OpenAI, Anthropic, Salesforce, or similar) is a strong plus.

Additional Information

Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.

#LI-HYBRID

Compensation Disclosure

In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.

Total Compensation Range

$200,000-$300,000 USD

About PubMatic

PubMatic is a digital advertising technology company that provides a platform to publishers which includes real-time bidding (RTB), header bidding, and other monetization solutions. The company was founded in 2006 and is headquartered in Redwood City, California. PubMatic's platform enables publishers to monetize their digital content across various devices and formats, including mobile, video, and display. The company has offices in North America, Europe, and Asia-Pacific. PubMatic has received several awards for its technology and innovation, including being named a Deloitte Technology Fast 500 company in 2013 and 2014.
Learn more about PubMatic
Size
1,200 employees
Market Cap
$647.7 million
Industry
Founded
2006
Revenue
$148.7 million
NASDAQ

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