Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 43 hours ago

Product Manager, AI & Predictive Analytics

Liaison International10 open roles

Where
Hybrid
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProduct Manager, AI & Predictive AnalyticsLiaison International · Hybrid

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Liaison International's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Liaison International postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 43 hours ago

Liaison International median: 19 days open

The posting

At Liaison, we’ve helped higher education institutions build better, more diverse classes for three decades. You may recognize us as the company behind the Centralized Application Service (CAS), Enrollment Marketing services and platform (EMP), SlideRoom, Time2Track, TargetX (CRM) and Othot.

Everything we do is focused on taking that proven success and expanding its scope and scale. Over 31,000 programs on more than 1,000 campuses see us as a forward-thinking partner integral to meeting their total enrollment goals — and we’re building the data- and mission-driven team that will reinforce our role for decades to come.

The Product Manager is responsible for defining and advancing product capabilities for the Othot platform, with a particular focus on AI, analytics, and data-driven solutions. This role translates customer needs, market opportunities, and complex technical capabilities into clear product requirements and experiences that deliver meaningful value to colleges and universities.

Working closely with Data Science, Engineering, UX, and client-facing teams, the Product Manager manages product priorities from discovery through development, launch, and adoption. This role also monitors product usage and performance, gathers customer and market insights, and supports the continued evolution of AI-powered capabilities across enrollment, retention, financial aid, and other higher education use cases.

Responsibilities:

  • Develop and maintain the product roadmap for AI, analytics, and agentic capabilities, including AI-driven recommendations, conversational interfaces, workflow automation, and student- and institution-level insights.
  • Partner with Data Science, Engineering, and client-facing teams to translate predictive and prescriptive model outputs into usable, explainable product features.
  • Gather and analyze customer, market, and user insights to identify needs, validate opportunities, and inform product priorities.
  • Translate business, customer, and technical requirements into clear product specifications and development priorities.
  • Collaborate with UX/UI teams to define requirements and provide feedback throughout the design and development process.
  • Define product success metrics and monitor customer usage, adoption, and usability trends to inform ongoing improvements.
  • Support the development and continuous improvement of processes for bringing AI-powered capabilities from concept through development, validation, and release.
  • Develop customer-facing documentation, release notes, training materials, demonstrations, and other resources to support successful product adoption.
  • Collaborate cross-functionally throughout the product development lifecycle to ensure alignment on priorities, requirements, timelines, and customer value.

Position Requirements:

  • Bachelor’s degree in Business, Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience.
  • 3+ years of Product Management experience, preferably within a data-intensive, analytics-driven, or SaaS environment.
  • Demonstrated experience developing and launching software products or features that incorporate AI/ML capabilities, including AI-driven or agentic workflows.
  • Strong ability to translate complex or ambiguous AI/ML concepts into clear product requirements and compelling customer value propositions.
  • Excellent written and verbal communication skills, including experience presenting and demonstrating products to internal and external audiences.
  • Background in machine learning or predictive modeling strongly preferred, whether through prior data science/analytics experience, an ML-focused product role, or close partnership with Data Science or ML teams. Strong familiarity with modeling concepts and interpreting machine learning model outputs.
  • Higher education or EdTech experience, particularly in enrollment management, student retention, financial aid, or institutional research, preferred.
  • Experience with BI or analytics tools and using data to inform product decisions preferred.
  • Familiarity with Agile product development practices and tools such as Jira; experience with beta testing or customer co-design programs preferred.

Privacy Policy | GDPR | CCPA Compliance

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Liaison International's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Liaison International's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Liaison International's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.