> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Agent Product Manager

Canonical URL: https://nextmove.md/fde/jobs/35fa01470f323601

Titan posts a FDE role to integrate and configure the product in New York, NY, at $180,000–$480,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Agent Product Manager responsible for deploying, tuning, and expanding AI agents across enterprise IT environments. Read from the employer’s posting on November 8, 2026.

- [Titan](https://nextmove.md/fde/companies/titan)

Posted Jun 9, 2026 by Titan · open on Ashby as of Nov 8, 2026

**$180,000–$480,000** + equity New York, NY On-site Full-time

Agent Product Manager responsible for deploying, tuning, and expanding AI agents across enterprise IT environments.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F35fa01470f323601&placement=top)
- [View posting at Titan](https://jobs.ashbyhq.com/titan-msp/1c7d9642-8907-491c-8146-12a0a4508afe/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$180K–$480K Above the median

Midpoint $330K · median $190K

This job $180K to $480K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Integrates and configures it

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Configuration only

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **3+ years** Product Management, Forward Deployed Engineer, Solutions Architect, or similar deployment-focused role

Background

- **Solutions and customer engineering**
- **Forward deployed engineering**

### Do you meet what the posting states?

The posting asks for 3+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Work arrangement**: On-site

- **Employment type**: Full-time

- **Pay**:

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## The job description from Titan

Posted by Titan on Jun 9, 2026

### Agent Product Manager

### About Titan

Titan is building the AI workforce for IT. We deploy AI agents across our portfolio of Managed Service Providers and enterprise customers: agents that monitor, triage, and resolve work across the service desk, infrastructure, security, identity, endpoint, and application operations. The result is faster resolutions, better uptime, and more proactive, personalized support, delivered 24/7.

In under a year we've raised over $100M from General Catalyst, 8VC, and CalPERS, acquired market-leading MSPs like RFA, and put agents into production in large enterprises. We've automated 100K+ tickets across 400+ customers. Our tech team has talent from Scale AI, CoreWeave, Vanta, Dropbox, Meta, FiveRings, TwoSigma, Amazon, Harvard, Stanford, and MIT.

Joining Titan means helping redefine how work gets done in IT services, and building a $100B company.

### About the Role

As an Agent Product Manager, you get Titan's AI agents working in our enterprise clients. You learn each environment, map the systems and workflows, encode client policies, and stand agents up in production, then tune them until they're resolving real work reliably. This is a hands-on, technical role that sits between product and the field: your job is to take agents from "configured" to "trusted and resolving tickets at scale," and to turn what you learn into a better product.

You work closely with Forward Deployed Engineers, who own the overall relationship, while you drive the agent deployment itself, from initial integration through tuning, measurement, and expansion across new workflows.

### What You'll Do

- Deploy AI agents in client environments: integrate Titan with each customer's tooling, encode their policies, and get agents resolving work in production.
- Tune for reliability: monitor agent performance, debug failures, and iterate on prompts, workflows, and guardrails until resolution quality and trust are high.
- Map systems and workflows: learn each client's service desk, identity, cloud, security, and endpoint stack, and design how agents fit into it.
- Expand coverage: identify new workflows and ticket types agents can take on, and roll them out with minimal disruption.
- Turn field learnings into product: partner with Engineering to make deployment faster and more repeatable, and feed real-world findings back into the platform and roadmap.

### Who You Are

- 3+ years in a Product Management, Forward Deployed Engineer, Solutions Architect, or similar deployment-focused role.
- Hands-on and technical: proficient with scripting and APIs, with the aptitude to learn identity, cloud, and security/endpoint tooling.
- Fluent alongside AI tools, and able to design and tune AI-native workflows.
- Comfortable with ambiguity and speed. You'd rather ship and iterate than wait for a perfect spec.
- Detail-driven and reliability-minded: you care that agents work correctly in production, not just in a demo.

[View posting at Titan](https://jobs.ashbyhq.com/titan-msp/1c7d9642-8907-491c-8146-12a0a4508afe/application)

## About Titan

AI holding company that acquires MSPs and embeds agentic "Augmented AI" into their service workflows to scale them like software companies.

Seed · 200–500 people

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