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Senior Engineering Manager, ML (Ads Targeting)

Reddit

Reddit

Software Engineering, Other Engineering, Data Science
United States · Remote
Posted on Thursday, March 28, 2024
Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 73+ million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit has a flexible first workforce! if you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the United States or Canada.

In this role, you will own the engineering strategy for Ads Targeting products that are critical to scaling our business and meeting the needs of tens of thousands of advertisers of Reddit's native targeting products and targeting platform. You will charter both ML and heuristic backed features that will infer and target highly qualified users and content to maximize outcomes for a varied group of advertisers.You will also guide the vision of targeting platform that would be responsible for creating and defining shared standards, low-latency infrastructure, and libraries for all Ads Targeting initiatives that drive quicker iteration, better observability, and a unified targeting experience. In addition to managing the targeting infrastructure, this team is also tasked with overseeing third-party audience products, developing audience size forecasting infrastructure, and implementing solutions for user targeting privacy.

The ideal candidate understands the value that Ads can bring to our users, advertisers, and Reddit. You’ll achieve this by working with a core team of Engineering Managers, Product Managers, Engineers, Data Scientists, Product Marketers and UX designers.

As the Senior Engineering Manager of the Ads Targeting team. You will work closely with Engineering Managers, Product owners and Data Scientists from our Ads team to 1) set up the vision and product strategy of Ads native targeting products, platform and automation, 2) Optimize existing targeting products 3) Provide new targeting products to reach relevant audiences. Targeting products requires rich user, content & advertiser models to match a relevant user with a campaign/advertiser. This person is an industry leader in the Machine Learning optimization domain & marketplace dynamics with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills.

What You’ll Do

Ads Targeting Technical Vision

Your primary mission will be to build new and optimize 1P and Automation targeting products for Ads Targeting that can scale with our ads business over the next several years. There is plenty of room for guiding and setting technical vision that will have a huge impact on our business.

Execution

You will own the execution of your team’s roadmap and be accountable for consistent, predictable delivery. You will ruthlessly prioritize both planned projects and emergent asks. You will coach EMs & Tech Leads on project management and empower your team to execute autonomously. You will identify risks and proactively communicate them both internally and externally.

Recruiting

Ads Targeting will grow quickly during your tenure at Reddit, and our engineering managers are directly responsible for scaling up their teams. You will identify your team’s needs, write job descriptions, source, interview, and help close candidates. You will have the support of our incredible recruiting team to bring diverse and talented engineers into Reddit.

Career Development

You will help your engineers & managers identify career goals and create development plans to achieve them. You will constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.

Quality Control

You will work with your team to develop processes and tooling that constantly improve the quality of our products and systems, ensuring that they meet product requirements, customer needs, and SLAs.

Organizational Alignment

You will serve as a thought partner to product and upper management to ensure your team’s plans align with company goals. You will become an expert in the digital ads business and our customer needs. You will participate in and challenge prioritization decisions. You will communicate your team’s work and set expectations with external stakeholders.

Minimum Qualifications

  • 4+ year of supporting and growing engineering teams - ideally hiring and scaling a team over 100% growth
  • Experience of Managing Core Ads Products teams with top line Revenue Goals
  • Proven track record of building and shipping large Scale End-to-End Machine Learning Based Products
  • Experience in one of the following areas
    • Machine Learning, NLP, Ranking, Search engine, Recommender system, Distributed system, Knowledge Graph and Service-oriented architectures
  • Experience managing a team including hiring, onboarding, and professional development
  • Experience building 0->1 Products and Scaling Existing Product lines
  • You're technical, enough to solve almost any problem your team has yourself, but you prefer to guide your team into solving them
  • Excellent written and verbal communication skills. You must be able to collaborate effectively with teams in a fully-remote environment and discuss complex topics with technical and non-technical audiences
  • Experience with data driven/informed decision making

Preferred Qualifications

  • Experience working with and growing senior engineers IC5+
  • Previous exposure to developing and executing Multi Year Product Strategies
  • Passionate about building healthy and highly productive teams and collaborating with XFN stakeholders (PM, PMM, DS, Sales etc)

Benefits:

  • Comprehensive Healthcare Benefits
  • 401k Matching
  • Workspace benefits for your home office
  • Personal & Professional development funds
  • Family Planning Support
  • Flexible Vacation (please use them!) & Reddit Global Wellness Days
  • 4+ months paid Parental Leave
  • Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:
$260,800$365,100 USD

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.