24 days ago
New York, NY, USAMid Level
Responsibilities
- Own end-to-end technical delivery of AI workflow deployments from discovery and prototyping through production rollout.
- Build and deploy AI agents, workflow automation, integration pipelines, MCP servers, sub-agents, retrieval pipelines, and structured extraction templates.
- Resolve data readiness, permissions, reliability, latency, observability, and system integration issues for production solutions.
- Embed with GTM leaders to identify use cases, define measurable success criteria, and translate business needs into technical designs.
- Guide functional teams through AI adoption and ensure deployed workflows are actively used.
- Create reusable connector templates, evaluation frameworks, observability standards, and deployment playbooks.
- Contribute to precision and recall benchmarks, human review queues, audit trails, and the broader AgenticOS platform.
Requirements
- At least 2 years of software engineering or technical deployment experience involving direct customer-facing or embedded delivery work.
- Hands-on experience with modern AI tooling such as 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 integrating enterprise platforms such as Salesforce, Jira, or comparable CRM and workflow systems.
- Ability to scope work, sequence delivery, remove blockers, manage ambiguity, and work independently.
- Strong communication skills for stakeholder discovery, explaining technical trade-offs, and maintaining cross-functional alignment.
- Preferred experience in FDE, professional services, or embedded consulting roles at an AI company, technology vendor, or consulting firm.
- Preferred experience deploying AI workflows into sales, customer success, revenue operations, trading, or other commercial functions.
- Preferred experience designing precision/recall benchmarks, human review queues, and audit trails.
- Experience at a company with a recognized FDE model such as Palantir, OpenAI, Anthropic, or Salesforce is a plus.
Benefits
- Hybrid schedule with three days in the office and two days working remotely; the role is based in New York and may require travel to Redwood City and other PubMatic locations.
- Paid leave programs and paid holidays.
- Healthcare, dental, vision, disability, and life insurance.
- Commuter benefits, physical and financial wellness programs, and unlimited DTO in the US.
- Mobile reimbursement, fully stocked pantries, and in-office catered lunches five days per week.
Tech Stack
Categories
Forward Deployed
