Product Manager

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

Full Time

SALARY

N/A

HOURS PER WEEK

40

DATE UPDATED

Mar 20, 2026

JOB OVERVIEW

Company: BriarBear
Location: Fully Remote (Philippines)
Schedule: Graveyard Shift (Start time between 6:00 PM - 8:00 PM PH Time)
Employment Type: Full-time

About Yibby

Yibby is an AI-powered gift-recommendation chatbot that helps people find the perfect gift for
anyone in seconds. Users tell Yibby who they’re shopping for — for example, “my dad, born in
1980, loves anime, birthday gift” — and Yibby suggests thoughtful, personalized gifts based on
interests, demographics, personality, seasonality, and more.

Yibby’s recommendation engine is powered by a curated gift database and supported through
affiliate partnerships with Amazon, Target, Etsy, TikTok Shop, and others. Our mission is to
make gift-giving joyful, personal, and effortless.

About the Role

We’re hiring a Product Manager who will also serve as Yibby’s “Gift Master” — the human
curator responsible for making sure Yibby recommends amazing, high-quality gifts.
This is a hands-on role focused on building and maintaining the universe of gifts that Yibby can
recommend. You will ensure that every item in our system is:

- A genuinely great gift
- High-quality
- In-stock and up to date
- Seasonally appropriate
- Eligible for strong affiliate commissions
- Matched to the correct recipient profiles and occasions

Your Responsibilities Include

1. Curating the Gift Catalog

- Evaluating products across major affiliate marketplaces
- Determining which items make excellent gifts (vs. generic products)
- Tagging and categorizing gifts by age, interests, hobbies, personality, and special
occasions
- Prioritizing high-commission, high-delight items

2. Optimizing Based on Business Goals

- Filtering out low-commission, low-quality, or unavailable items
- Tracking seasonal trends and upcoming holidays
- Identifying trending items, viral products, and new releases


3. Maintaining the Gift Database

- Creating structured attributes and metadata for each product
- Improving the taxonomy of categories, tags, and matching logic
- Ensuring the recommendation engine has the right inputs to select great gifts


4. Reviewing Gift Content

You will collaborate with Yibby’s content team responsible for producing:
- Product photos
- Lifestyle images
- Short videos
- AI-generated UGC or demos
Your role is to ensure the content is accurate, appealing, and suited to the gifting
scenario.


5. Working with Product & Engineering

- Presenting new gift categories or seasonal collections
- Partnering with engineering to refine the recommendation engine
- Translating product ideas into structured requirements or data needs
Yibby currently does not have a dedicated UX designer, so you will sometimes use AI
tools or simple mockups to visualize flows, data structures, or tagging systems.

What We’re Looking For
- Experience in product management, e-commerce, merchandising, or similar
- Strong research skills and attention to detail
- An instinct for what makes a great gift
- Excellent written English and communication skills
- Comfort using AI tools for research or content creation
- Highly organized with the ability to work independently

Nice to Have:
- Experience with affiliate programs (Amazon Associates, TikTok Shop, etc.)
- Background in e-commerce catalog management
- Knowledge of gifting behavior, consumer trends, or product psychology
- Experience reviewing or creating product photos or short-form content
- Interest in recommendation systems or personalization engines

Apply thru this form - ----------

VIEW OTHER JOB POSTS FROM:
SHARE THIS POST
facebook linkedin
  BENCHMARKS  
Loading Time: Base Classes  0.0032
Controller Execution Time ( Jobseekers / Job )  0.0194
Total Execution Time  0.0234
  GET DATA  
No GET data exists
  MEMORY USAGE  
1,493,640 bytes
  POST DATA  
No POST data exists
  URI STRING  
jobseekers/job/Product-Manager-1606543
  CLASS/METHOD  
jobseekers/job
  DATABASE:  onlinejobs (Jobseekers:$db)   QUERIES: 13 (0.0074 seconds)  (Hide)
0.0003   SELECT *
                                
FROM exrates
                                WHERE rate_name 
'USD-PHP' 
0.0005   SELECT *
FROM `employer_jobs`
WHERE `job_id` = 1606543
 LIMIT 1 
0.0004   SELECT *
FROM `employers`
WHERE `employer_id` = 901591
 LIMIT 1 
0.0012   SELECT COUNT(*) AS `numrows`
FROM `t_thread` `t`
LEFT JOIN `t_thread_misc` `miscON `t`.`id` = `misc`.`thread_id`
WHERE `t`.`job_id` = 1606543
AND `misc`.`idIS NULL 
0.0005   SELECT e.business_namee.logoe.websitee.rebill_datee.date_added member_datehitsDATEDIFF('2026-04-21',ej.date_added) duration_daysDATEDIFF('2026-04-21',e.rebill_date) duration_rebillej.*, e.deactivate FROM employers eemployer_jobs ej WHERE e.employer_id ej.employer_id AND
                                   ((
e.user_level >= '500' AND ej.date_added <= e.rebill_date)
                                   OR 
e.employer_id '' OR (ej.date_approved <> '2000-01-01' and DATEDIFF('2026-04-21',ej.date_added) <= 14 ))
                                   AND 
e.deactivate != AND ej.deleted AND job_id '1606543' 
0.0003   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1606543 
0.0008   UPDATE employer_jobs SET hit_counts '***Mar-20-2026=478***Mar-21-2026=32***Mar-22-2026=13***Mar-23-2026=22***Mar-24-2026=20***Mar-25-2026=13***Mar-26-2026=14***Mar-27-2026=6***Mar-28-2026=4***Mar-29-2026=1***Mar-30-2026=14***Mar-31-2026=6***Apr-01-2026=3***Apr-02-2026=1***Apr-03-2026=1***Apr-05-2026=3***Apr-06-2026=4***Apr-07-2026=2***Apr-08-2026=2***Apr-09-2026=2***Apr-10-2026=4***Apr-11-2026=1***Apr-12-2026=6***Apr-13-2026=2***Apr-16-2026=5***Apr-21-2026=1' WHERE job_id'1606543'  
0.0006   UPDATE employer_jobs SET monthly_hits '***Mar-2026=623***Apr-2026=37' WHERE job_id'1606543'  
0.0009   SELECT date_sent FROM jobseeker_sent_emails WHERE jobseeker_id '' AND job_id '1606543' AND status LIKE 'sent%' ORDER BY id DESC  
0.0010   SELECT *
FROM `employer_jobs_skills` `ejs`
LEFT JOIN `skills_categories` `scON `ejs`.`skill_id` = `sc`.`id`
WHERE `job_id` = 1606543 
0.0004   SELECT COUNT(*) AS `numrows`
FROM `employer_jobs`
WHERE `employer_id` = '901591'
AND `date_added` >= '2022-06-08' 
0.0003   select from teasers 
0.0002   SELECT FROM skill_categories WHERE skill_cat_id='' 
  HTTP HEADERS  (Show)
  SESSION DATA  (Show)
  CONFIG VARIABLES  (Show)