Staff Product Manager, Engagement
Calendly is hiring a Staff Product Manager, Engagement in San Francisco, United States. It pays $237k-$300k a year and Level rates it ; you can apply on Calendly.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 32% higher than the typical AI product manager posting on Level.
- The posting mentions product management, growth and personalization among its tools and skills.
- Level classes it as a senior role.
- Calendly has 8 other open roles on Level.
AI in this role
Lead engagement product strategy and ranking systems to drive user retention and return habits at Calendly.
What’s in it for you?
Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.
*This is a hybrid position located in the Bay Area; the expectation is to go into the San Francisco office 2 times per week.
Calendly is used by more than 20 million people to take the work out of scheduling.
We're becoming a multi-product platform, and getting users back to the value, across more of what we do, is now one of our most important growth opportunities. This role owns engagement: the surfaces and systems that bring users back daily, and the judgment to do it without ever wearing out their trust.
What you'll do
- Build engagement as a system, not a pile of one-off campaigns: the ranking, the timing, the triggers that compound into a habit
- Own the surfaces where Calendly shows users their next step, in-product and over email, and the craft of getting the right thing in front of the right person at the right moment
- Build the habit of returning without ever making the product feel noisy
- Ship fast and learn on real usage
What we're looking for
- 8-10+ years in product, including senior or staff-level engagement, growth, or lifecycle ownership
- Experience using ML for ranking or personalization
- You let a qualitative read of user needs guide where you experiment, rather than testing at random and hoping
- You optimize for long-term growth and brand trust over small experimentation wins, and you can point to a time you passed on an easy lift because it would have cost trust
- Driven and tasteful at once: you push hard on engagement and know exactly where the line is
- You balance user and company goals rather than trading one for the other
- The ability to work in our San Francisco office 2 times per week
- Authorized to work lawfully in the United States of America, as Calendly does not engage in immigration sponsorship at this time
The ranges listed above are the expected annual base salary for this role, subject to change.
Calendly takes a number of factors into consideration when determining an employee’s starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity.
Base salary is just one component of Calendly’s total rewards package. All full-time (30 hours/week) employees are also eligible for equity awards, and competitive benefits. Eligible Sales employees also qualify for a Sales Incentive program.
Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:
- Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
- Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
- Tier 3: All other locations not in Tier 1 or Tier 2
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility.
All candidates can find our Candidate Privacy Statement here
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection
This role may require occasional travel for company events, team collaboration, or offsites.
How we rate this
Staff Product Manager, Engagement at Calendly 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
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $237k
- Typical AI product manager job
- $180k
This posting starts 32% 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 growth was part of your work. What did you do?
- Tell me about a project where personalization was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where ranking was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Management, Growth, Personalization, Machine learning, and Ranking. 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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