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Product Manager, Agent

AI Summary
Customer.io is seeking a Product Manager to own and improve its AI agent experience for marketers using the platform. The role focuses on identifying adoption friction, running experiments, and improving activation, retention, and monetization outcomes. This PM will partner closely with engineering, design, marketing, customer experience, and other product squads to deliver cohesive platform experiences. The ideal candidate has at least three years of SaaS product management experience, strong analytical judgment, and familiarity with AI-powered or agentic products. The position is remote across the Americas and requires effective autonomous work in an async-first environment.
Remote from
USA, Canada, LATAM
Salary
USD 137k–187,200 / yr
Employment
Full Time
Experience
Director
Published
Apply before
4 Dec 2026
Listing views
15
Application actions
0
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Opportunity details

About this role.

About Customer.io

Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Megan Berry, Senior Director of Product Management at Customer.io, and I’m looking for a Product Manager to improve how customers experience their first weeks with us. Our self-serve business is a growing part of how customers discover and adopt Customer.io, and this role sits at the center of that motion, working alongside our Senior PM on the self-serve pod. You’ll have real ownership over a defined slice of the journey, with the data, experimentation muscle, and cross-functional partners to move it.

What we value

  • Customer empathy — you dig into what’s actually slowing customers down, not just what the dashboard says.
  • Bias to experiment — you’d rather run a test than debate an opinion.
  • Clear communication — you make complex tradeoffs easy for others to follow.
  • Ownership without ego — you drive your area forward and know when to ask for help.

What you’ll do

  • Own the product experience of of our own agent, working with our agent team to ensure it is first-class, competitive and helpful for the AI-first marketer who uses our platform.
  • Work closely with other PMs and squads to ensure the agent works well with each part of the platform it touches.
  • Find and resolve friction points using data, experimentation, and customer insight.
  • Define and track success metrics for activation, retention, and monetization.
  • Partner with Marketing, CX, and Design to ensure success across all touch points
  • Work with Engineering to scope and deliver improvements that produce customer value
  • Communicate priorities and progress clearly across teams and leadership.

What we’re looking for

  • 3+ years of product management experience in SaaS, ideally with some experience PMing an agentic experience.
  • Experience using or developing AI-powered tooling in your product workflow
  • A track record of improving activation or retention metrics.
  • Strong analytical and experimentation skills — data-driven but comfortable with ambiguity.
  • Experience collaborating across Product, Marketing, and CX.
  • A clear communicator who simplifies complexity and drives alignment.
  • Deep curiosity about what helps customers succeed.
  • Comfort working autonomously in a remote, async-first environment.

Compensation & Benefits

We believe in transparency. Starting salary for this role is $137k–$156k USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.

Zone 1: $164,400–$187,200.

Zone 2: $150,700–$171,600.

Zone 3: $137,000–$156,000.

We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions – just a clear, human process designed to help both of us make an informed decision.

  1. 30-minute call with a Recruiter
  2. 30-minute video call with the Hiring Manager
  3. 60-minute Product Case discussion with Engineering team members
  4. 60-minute Product Case Review call with a panel

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.

Join us!

Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines AI-agent product ownership with growth-oriented metrics, experimentation, and coordination across several functions. Success requires independent prioritization amid ambiguity while aligning multiple teams around measurable customer outcomes.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$162,100
US market range (per year)$135k–$185k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses annual USD base-salary bands ranging from $137,000 to $187,200 by compensation zone; the midpoint across the disclosed range is $162,100 per year. The stated starting range is $137,000–$156,000, with higher Zone 1 and Zone 2 bands. Estimated US-market annual base pay for a mid-level SaaS Product Manager working on AI-enabled products is $135,000–$185,000; this is an AI estimate, not verified salary research.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you identify and prioritize improvements for Customer.io's AI agent during a customer's first weeks on the platform?

I would combine funnel data, session behavior, support themes, and customer interviews to identify the highest-impact points of friction. I would prioritize opportunities by expected customer impact, confidence, implementation effort, and strategic importance, then define a small set of measurable experiments.

Describe an experiment you would run to improve activation for an AI-powered marketing feature.

I would first define an activation event that demonstrates meaningful value, such as publishing a campaign created with agent assistance. I would test guided onboarding, contextual prompts, or templates against the current experience, measure completion and downstream retention, and validate results by customer segment.

How do you manage tradeoffs when several product teams depend on the same AI-agent capability?

I would establish a shared problem statement, user outcomes, success metrics, and clear ownership boundaries. I would use evidence on customer impact and platform leverage to sequence work, communicate the rationale openly, and maintain a roadmap that highlights dependencies and decisions.

What metrics would you use to evaluate whether the agent is helpful and competitive?

I would track adoption, successful task completion, time to value, repeat usage, user satisfaction, and quality signals such as edits or abandonment. I would connect these leading indicators to activation, retention, and monetization outcomes while segmenting results by customer type and use case.

How do you communicate an uncertain product decision to leadership and cross-functional partners?

I clearly separate known facts, assumptions, risks, and the decision needed. I present the customer problem, available options, expected tradeoffs, recommended path, and validation plan so stakeholders can align even when complete certainty is not possible.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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