Staff Software Engineer - Backend - Ads Measurement

#Team Nextdoor

Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com .

Meet Your Future Neighbors

As a Senior / Staff Software Engineer within the monetization group at Nextdoor, you’ll drive impactful community-focused revenue strategies. In this role you will collaborate with innovative teams, transforming local connections into sustainable growth.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees.

The Impact You’ll Make

If you want the challenge of fast-paced growth, the satisfaction of seeing your design work come to life, and the pride in helping grow a world-class design team, this is the place for you.

Your responsibilities will include:

• Designing, implementing, and optimizing ads measurement systems


• Collaborating with cross-functional teams including backend engineers, data scientists, machine learning teams, and client teams within Ads


• Analyzing large datasets to identify patterns and inform system improvements in ads measurement


• Developing privacy-enduring ads measurement solutions


• Leading projects from zero to one, building something from the ground up


• Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises


• Build in-person relationships with team members and contribute to Nextdoor’s company culture

What You’ll Bring To The Team

• 7-10 years demonstrated experience working on distributed systems


• Proven track record in leading large-scale projects from 0 to 1


• Effective communication skills and cross-team collaboration abilities


• Ads domain expertise and tuned to industry trends


• Proficiency in problem-solving and attention to detail


• Experience with large datasets and multiple datastore technologies


• Strong coding abilities in at least one language. Python or Kotlin experience preferred


• Genuine curiosity and a hunger for learning


• Strong desire to serve local communities and neighbors worldwide

Bonus Points

• Prior experience in conversion modeling or probabilistic attribution


• Familiarity with statistical modeling, machine learning, and data analysis


• Knowledge of privacy-preserving data analysis methods

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography.

The starting salary for this role is expected to range from $190,000 to $240,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here .