How to hire a data product manager

How to hire a data product manager, step by step

Here's a step-by-step data product manager hiring guide:

• Step 1: Identify your hiring needs
• Step 2: Create an ideal candidate profile
• Step 3: Make a budget
• Step 4: Write a data product manager job description
• Step 5: Post your job
• Step 6: Interview candidates
• Step 7: Send a job offer and onboard your new data product manager
• Step 8: Go through the hiring process checklist

What does a data product manager do?

Post a data product manager job for free, promote it for a fee

Post free

1. Identify your hiring needs

   The data product manager hiring process starts by determining what type of worker you actually need. Certain roles might require a full-time employee, whereas part-time workers or contractors can do others.

   Determine employee vs contractor status

   Is the person you're thinking of hiring a US citizen or green card holder?

   Yes

   No

   You should also consider the ideal background you'd like them a data product manager to have before you start to hire. For example, what industry or field would you like them to have experience in, what level of seniority or education does the job require, and how much it'll cost to hire a data product manager that fits the bill.

   This list presents data product manager salaries for various positions.

   Type of Data Product Manager	Description	Hourly rate
   Data Product Manager	Advertising, promotions, and marketing managers plan programs to generate interest in products or services. They work with art directors, sales agents, and financial staff members.	$41-75
   Social Media Manager	Social media managers are responsible for representing the company's business through social media channels. They help the company grow by enhancing its presence via social networks... Show more	$24-47
   Web Manager	Web Managers are responsible for managing websites for organizations. Their duties include managing website upgrades, testing for website performance, implement a strategy to increase web traffic and subscribers, troubleshooting website issues, and responding to security breaches... Show more	$25-60

   Show more

2. Create an ideal candidate profile

   Common skills:

   • Product Management
   • BI
   • QA
   • Regression
   • Product Roadmap
   • Project Management
   • Data Analysis
   • Visualization
   • Data Quality
   • User Stories
   • KPIs
   • Market Research
   • User Experience
   • Product Strategy

   Check all skills

   Responsibilities:

   • Manage translation and QA testing of data warehouse software.
   • Align with customer need for market fundamentals, GIS layers, and infrastructure asset trackers by managing portfolio of custom datasets.
   • Manage horizontal UX prototyping resource needs, implementing effective collaborative expectations and cross-product timeline allocation strategies.
   • Contribute to and attend scrum activities (stand-ups, poker planning, sprint planning, sprint review, retrospective).
   • Utilize SQL to support data-driven analysis and decision processes to inform project prioritization, assess feature effectiveness, and troubleshoot issues.
   • Manage horizontal UX prototyping resource needs, implementing effective collaborative expectations and cross-product timeline allocation strategies.

   More data product manager duties

3. Make a budget

   Including a salary range in the data product manager job description is a good way to get more applicants. A data product manager salary can be affected by several factors, such as the location of the job, the level of experience, education, certifications, and the employer's prestige.

   For example, the average salary for a data product manager in Vermont may be lower than in California, and an entry-level engineer typically earns less than a senior-level data product manager. Additionally, a data product manager with lots of experience in the field may command a higher salary as a result.

   Average data product manager salary

   $117,599yearly

   $56.54 hourly rate

   ---

   Entry-level data product manager salary

   $87,000 yearly salary

   Updated December 14, 2025

   Average data product manager salary by state

   Rank	State	Avg. salary	Hourly rate
   1	California	$151,862	$73
   2	Washington	$142,954	$69
   3	Oregon	$129,103	$62
   4	New York	$119,243	$57
   5	District of Columbia	$118,795	$57
   6	Texas	$118,716	$57
   7	Massachusetts	$115,821	$56
   8	Connecticut	$114,202	$55
   9	Alaska	$113,428	$55
   10	Nevada	$113,359	$55
   11	Delaware	$109,981	$53
   12	Arizona	$109,147	$52
   13	Illinois	$108,483	$52
   14	Pennsylvania	$105,546	$51
   15	North Carolina	$104,527	$50
   16	Maryland	$101,183	$49
   17	Minnesota	$100,467	$48
   18	Georgia	$99,990	$48
   19	Michigan	$98,857	$48
   20	Missouri	$98,720	$47

   Average data product manager salary by company

   Company

   Rank	Company	Average salary	Hourly rate	Job openings
   1	Credit Karma	$182,256	$87.62	9
   2	Meta	$176,548	$84.88	1,736
   3	Airbnb	$174,846	$84.06	3
   4	The Walt Disney Company	$165,693	$79.66	167
   5	Google	$159,898	$76.87	485
   6	StubHub	$158,200	$76.06	42
   7	ICE Mortgage Technology	$156,000	$75.00
   8	eBay	$154,798	$74.42	37
   9	Apple	$153,179	$73.64	151
   10	NVIDIA	$149,598	$71.92	39
   11	Better	$149,294	$71.78
   12	Didi Chuxing	$147,893	$71.10
   13	PayPal	$146,393	$70.38	53
   14	Pluralsight	$145,822	$70.11
   15	Algolia	$145,105	$69.76
   16	Databricks	$143,699	$69.09	33
   17	Über	$142,984	$68.74	139
   18	ConsumerTrack	$140,991	$67.78
   19	LinkedIn	$140,302	$67.45	32
   20	Twilio	$139,839	$67.23	8

4. Writing a data product manager job description

   A job description for a data product manager role includes a summary of the job's main responsibilities, required skills, and preferred background experience. Including a salary range can also go a long way in attracting more candidates to apply, and showing the first name of the hiring manager can also make applicants more comfortable. As an example, here's a data product manager job description:

   Data product manager job description example

   Bloomberg's Enterprise Data business continues to be a market leader when it comes to providing enterprise content for the financial services industry. Our offering includes best-in-class enterprise data and data delivery via a fully managed platform. Our committed customer base appreciates the quality of our content, completeness of our coverage, data delivery, technology, tools, and high-touch client service model.
   Environmental, Social, and Governance (ESG) Data Product Manager:
   
   Our sustainable finance data solutions complement our award-winning reference, pricing, and regulatory data products in bringing together a complete product suite that creates a compelling value proposition to research analysts across traditional fundamental analysis as well as quantitative and quantamental research. This business is core to our growth strategy across Enterprise Data, and our ambition is to continue servicing the most complex demands and challenges of our clients so that they can keep innovating and delivering value to their clients.
   
   Our team is responsible for identifying, creating, and designing data solutions that leverage Bloomberg's proprietary analytics and industry-leading sustainability data. This requires an in-depth understanding of environmental, social, and governance (ESG) data and familiarity with key sustainability topics, such as climate change. Key to this is understanding the multi-dimensional challenges our clients are trying to solve and making sure that we remain their trusted partner as they work with us to build solutions driven by best-in-class data.
   
   We are looking for an experienced data professional who understands the multiple use cases for ESG enterprise content including quantitative and quantamental research across multiple investment and risk management strategies.
   
   We will trust you to:
   Show domain expertise on key ESG drivers behind company performance and the types of ESG data firms are using, and how they are linking these datasets together to create an edge in an increasingly competitive market Stay current on major sustainability trends within the financial industry that continue to evolve and disrupt traditional thinking and drive the many use cases for enterprise data Develop a deep understanding of our enterprise offering when it comes to our ESG content as well as the accessibility, usability, quality, tools, and services available to clients that allow them to deepen their interaction and usage of our content Set, track, and review metrics for desired product outcomes and clearly communicate product vision, roadmap, and development status and execute through collaboration with multiple stakeholders including global data specialists, sales, engineers, and support organization Develop a strong relationship with a core group of clients that will partner with us to expand our understanding of their key challenges and evolve our offering through ongoing dialogue and experimentation to systematically solve their challenges Display product management skills and effectively manage data product specification, prioritization, and backlog by continually addressing business needs through an agile process Understand data science techniques and platforms that our clients are either building or leveraging to extract value from big data Demonstrate strong problem-solving, analytical, and technical skills through proficiency in Python or similar programming languages typically used in data science and data engineering You will need to have:
   A minimum of 5 years' experience as a Product Manager or related role A strong understanding of capital markets, preferably in a broad range of asset classes Familiarity with data science and quantitative investing processes Basic proficiency in Python, R, or other programming languages typically used in data science, greater proficiency is highly valued Problem solving skills to deconstruct client problems with a data driven approach when making a business case for resources, enhancements, and getting management buy-in Self-motivated and driven by innovation and idea sharing The capability of fostering relationships with new and existing clients as well building an internal network that fosters collaboration and build on a strong culture of teamwork Bachelor's degree in statistics, mathematics, economics, business management, or other related field CFA or equivalent preferred Does this sound like you?
   
   Apply if you think you're a match! We'll be in touch right away with next steps.
   
   We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

   Copy this example

   

5. Post your job

   There are a few common ways to find data product managers for your business:

   • Promoting internally or recruiting from your existing workforce.
   • Ask for referrals from friends, family members, and current employees.
   • Attend job fairs at local colleges to meet candidates with the right educational background.
   • Use social media platforms like LinkedIn, Facebook, and Twitter to recruit passive job-seekers.

   To find data product manager candidates, you can consider the following options:

   • Post your job opening on Zippia or other job search websites.
   • Use niche websites that focus on engineering and technology jobs, such as swipe files, exit five, marketinghire, american marketing association.
   • Post your job on free job posting websites.

6. Interview candidates

   Your first interview with data product manager candidates should focus on their interest in the role and background experience. As the hiring process goes on, you can learn more about how they'd fit into the company culture in later rounds of interviews.

   Remember to include a few questions that allow candidates to expand on their strengths in their own words. Asking about their unique skills might reveal things you'd miss otherwise. At this point, good candidates can move on to the technical interview.

   The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.

7. Send a job offer and onboard your new data product manager

   Once you've selected the best data product manager candidate for the job, it's time to write an offer letter. In addition to salary, this letter should include details about the benefits and perks you offer the candidate. Ensuring that your offer is competitive is essential, as qualified candidates may be considering other job opportunities. The candidate may wish to negotiate the terms of the offer, and you should be open to discussion. After you reach an agreement, the final step is formalizing the agreement with a contract.

   It's also important to follow up with applicants who do not get the job with an email letting them know that the position is filled.

   To prepare for the new data product manager first day, you should share an onboarding schedule with them that covers their first period on the job. You should also quickly complete any necessary paperwork, such as employee action forms and onboarding documents like I-9, benefits enrollment, and federal and state tax forms. Finally, Human Resources must ensure a new employee file is created for internal record keeping.

8. Go through the hiring process checklist

   • Determine employee type (full-time, part-time, contractor, etc.)
   • Submit a job requisition form to the HR department
   • Define job responsibilities and requirements
   • Establish budget and timeline
   • Determine hiring decision makers for the role
   • Write job description
   • Post job on job boards, company website, etc.
   • Promote the job internally
   • Process applications through applicant tracking system
   • Review resumes and cover letters
   • Shortlist candidates for screening
   • Hold phone/virtual interview screening with first round of candidates
   • Conduct in-person interviews with top candidates from first round
   • Score candidates based on weighted criteria (e.g., experience, education, background, cultural fit, skill set, etc.)
   • Conduct background checks on top candidates
   • Check references of top candidates
   • Consult with HR and hiring decision makers on job offer specifics
   • Extend offer to top candidate(s)
   • Receive formal job offer acceptance and signed employment contract
   • Inform other candidates that the position has been filled
   • Set and communicate onboarding schedule to new hire(s)
   • Complete new hire paperwork (i9, benefits enrollment, tax forms, etc.)

   Sign up to download full list

   Sign up

How much does it cost to hire a data product manager?