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Product Manager - OEM

Lead development of autonomous AI agents for enterprise operational automation
San Francisco, California, United States
Senior
1 week ago
IFS

IFS

Delivers enterprise software for asset management, field service, and ERP, helping organizations manage complex operations and service-centric business models.

Product Manager - OEM

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes.

As the company grows, we are looking for mission-driven individuals to help deliver the future of AI-powered operations.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We're looking for innovative and original thinkers to work in an environment where you can change the status quo and make a real difference.

Job Description

We're building intelligent, autonomous AI agents that can reason, plan, and act across real-world workflows. These agents go beyond chat — they take meaningful action, work across tools and systems, and operate in complex, high-stakes environments.

As our Product Manager for OEM Engineering, you'll lead the definition and delivery of early use cases for agentic AI. You'll turn cutting-edge agent capabilities — like long-term memory, tool use, and planning — into applied, valuable products.

You'll be use-case–driven, but platform-aware — working closely with engineering and research to ensure what we build is feasible, scalable, and aligned with the underlying agent architecture.

Use Case Discovery & Validation

  • Identify and prioritize agent use cases with high ROI: operational automation, coordination agents, internal task delegation, etc.
  • Work with users and stakeholders to understand their workflows, challenges, and trust boundaries.
  • Prototype and iterate agent behaviors in production-like environments to validate fit and reliability.

Product Design & Execution

  • Define the agent experience — from delegation to monitoring to escalation — for real-world scenarios.
  • Translate use cases into clear product specs: user flows, system interactions, prompts, safety requirements, and interfaces.
  • Own the roadmap and ship iteratively: starting small, learning fast, scaling wisely.
  • Drive OEM partnerships and product strategy to integrate and scale AI agents within enterprise software ecosystems.

Cross-Functional Collaboration

  • Collaborate with engineering to align product needs with agent platform capabilities (planning, memory, tool orchestration, retries, etc.).
  • Partner with AI research to bring experimental features into real-world settings.
  • Ensure the platform supports the complexity of applied, multi-step, tool-using agents.

Strategy & Metrics

  • Define success metrics around outcomes — time saved, accuracy improved, failures recovered — not just clicks or sessions.
  • Build product foundations that allow for vertical reuse, system generalization, and long-term scalability.

Qualifications

  • 5+ years of product management or startup experience building technically complex, user-facing systems
  • Strong intuition for applied use cases — especially in automation, operations, or real-world workflows
  • Familiarity with agentic AI patterns and tooling (e.g., LLM agents, tool use, LangChain, OpenAI functions, memory systems)
  • Experience working closely with engineers and researchers on system-level product decisions
  • Strong communication, prioritization, and execution skills

Preferred Qualifications

  • Exposure to or interest in domains like logistics, field ops, manufacturing, or systems integration
  • Background in AI/ML infrastructure, developer platforms, robotics, or IIoT
  • Experience designing for human-in-the-loop or semi-autonomous systems
  • Hands-on experience with prototyping workflows or agents using modern frameworks (e.g. LangGraph, AutoGen)

Additional Information

What We're Offering

  • Salary Range: $150,000- $200,000
  • Flexible paid time off, including sick and holiday
  • Medical, dental, & vision insurance
  • 401K with Company contribution
  • Flexible spending accounts
  • Life insurance and disability benefits
  • Tuition assistance
  • Community involvement and volunteering events

M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at www.ifs.com/about/careers-at-ifs.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences.

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Product Manager - OEM
San Francisco, California, United States
Product
About IFS
Delivers enterprise software for asset management, field service, and ERP, helping organizations manage complex operations and service-centric business models.