Lead Product Manager, Messaging
ZipRecruiter is hiring a Lead Product Manager, Messaging in Santa Monica, United States. It pays $215k-$255k a year and Level rates it ; you can apply on ZipRecruiter.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts 20% above the typical AI product manager posting on Level.
- The posting allows some remote work.
- Tools and skills the posting cites include product management, messaging and a b testing.
- Level lists 51 other open roles at ZipRecruiter.
AI in this role
Lead Product Manager owning the messaging portfolio, working closely with machine learning teams to optimize notification and email delivery at ZipRecruiter.
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
Messaging is how ZipRecruiter shows up for job seekers when they are not on the site. Every day we send millions of emails and push notifications: new job alerts, fresh matches, communications from employers, and updates on applications already in flight. This portfolio is one of the largest single sources of job applications on ZipRecruiter, and it is the primary channel for re-engaging job seekers who would otherwise drift away.
You will own Product for this entire channel. That means deciding which messages exist and what each one is for, who receives them and when, how the portfolio balances message volume against job seeker trust and long-term retention, and how we decide for each job seeker the single best thing to send next.
The role sits at the center of the marketplace. Your messages carry the output of our matching and ranking models, so you will work daily with data science and machine learning teams. Your sends drive employer outcomes, so you will coordinate with employer-side Product teams on how to drive the most effective outcomes for them. And you own a channel with real constraints: deliverability, sender reputation, compliance, and a finite budget of seeker attention.
Key Focuses:
- Act as an Owner: Take full accountability for the jobseeker messaging domain, from portfolio-level KPI setting to the details of individual message performance.
- Optimize the portfolio: We send dozens of distinct message types. You will lead the thinking behind which, when, and how many messages we send, and via which channels.
- Obsess over your metrics: Applications delivered, job seeker activation and retention, unsubscribes and complaint rates, and the revenue carried by email placements. You will know how every message class contributes to each, and you will interrogate the why behind the numbers.
- Run on experiments: You will design experiments, read, and resolve them with judgment about long-term business health, looking beyond short-term engagement.
- Partner deep in the stack: Work with the engineering teams that own the messaging platform, with recommendations and matching teams on ranking and match quality inside your sends, and with the marketplace teams to understand how your product can move the needle on supply and demand.
- Protect the channel: Deliverability, sender reputation, compliance, and opt-in/opt-out systems are critical areas of Product focus.
- Voice of the Job Seeker: Serve as the voice of the job seeker for off-platform touchpoints. Talk to job seekers, run research, and develop the storyline behind how our messaging strategies impact the users and the business.
Minimum Qualifications:
- Proven Leadership: 7+ years of proven success in product management, with a record of delivering results.
- Deeply Analytical: You are a data-obsessed problem solver who doesn't just look at dashboards but interrogates the "why" behind the numbers. You are comfortable in SQL and fluent in A/B experimentation.
- Lifecycle or Notifications Experience: You have owned email, push, or lifecycle messaging products at consumer scale, and you understand the tension between engagement volume and user trust.
- AI/ML Fluency: You understand how to leverage machine learning to solve user problems, and you have shipped product features powered by ranking, relevance, or recommendation models.
- Customer Obsession: You have a passion for speaking directly with your users and personally conducting user research.
- Strong Communication: You write and speak clearly, and collaborate well across engineering, data science, design, and go-to-market stakeholders.
- Self-Motivation: You are highly driven and thrive when given the autonomy to drive massive impact.
Preferred Qualifications:
- Marketplace Experience: Previous experience at a two-sided marketplace (e.g., jobs, real estate, rideshare), where your work on one side had to account for outcomes on the other.
- Send-Decisioning or Growth Systems: Experience building message selection, frequency capping, or channel orchestration systems, or growth/CRM automation at scale.
- Deliverability Literacy: Working knowledge of email deliverability, sender reputation, and compliance regimes including SMS/RCS.
As part of our team you’ll enjoy:
- Competitive salary
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
#LI-Remote
The US base salary range for this full-time position is $215,000-$255,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
How we rate this
Lead Product Manager, Messaging at ZipRecruiter rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $215k
- Typical AI product manager job
- $179k
This posting starts 20% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where messaging was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where lifecycle marketing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Messaging, A B Testing, Data Science, and Lifecycle Marketing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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