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Lean In

Software Engineer

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Hybrid
Employment
Full-time
Level
Mid level
Function
Engineering
Pay
$130K – $200K a year
Posted
4 months ago

Pay and the market here

The top of this role’s range, $200K a year, is about the median of $200K for mid level engineering jobs in San Francisco (middle half $175K – $270K, 453 jobs that state pay).

5,003 engineering jobs open in San Francisco: 9% remote, 949 posted in the last 30 days.

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About the role

About Lean In & The Sandberg Bernthal Family Foundation

The Sandberg Goldberg Bernthal Family Foundation (SGBFF) works to build a more equal and resilient world. We bring people together to support each other through four initiatives: LeanIn.Org, LeanInGirls.Org, OptionB.Org, and the Dave Goldberg Scholarship Program.

Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential. We believe a more equal world is possible - and that it will take us working together to create it. While the majority of your work will focus on Lean In, this role offers the opportunity to drive impact across multiple mission-driven initiatives.

THE ROLE

We're hiring a Backend Engineer who will architect and maintain the back-end services and data pipelines that power our platforms - and you'll turn the data flowing through them into the metrics and analysis that guide our decisions. Engineer, data engineer, and data scientist all in one seat. This is a unique, high-growth opportunity. As AI reshapes how software and data work together, the people who can both build robust infrastructure and reason rigorously about what the data says are extraordinarily valuable. You'll have real ownership, direct influence on strategy through the metrics you define, and room to grow as our data and platforms scale to serve millions.

What You'll Do

Build the backend

  • Design, develop, and deploy scalable back-end services, APIs, and database architectures.
  • Take end-to-end ownership of technical projects, from technical design to production release.
  • Write clean, maintainable, well-tested code, and troubleshoot and debug across the stack.
  • Optimize performance, scalability, and security, and implement robust logging and observability.

Engineer the data

  • Build and maintain reliable data pipelines, from raw ingestion to reporting.
  • Design and optimize data infrastructure and warehousing solutions.
  • Ensure data quality, governance, and consistency across systems.
  • Implement logging and instrumentation that make our products measurable.

Drive insight and metrics

  • Partner with leadership and product to define, set, and track our goal metrics.
  • Build dashboards and visualizations accessible to both technical and non-technical stakeholders.
  • Design experiments and analyze A/B tests to optimize features and experiences.
  • Build predictive models and recommendation systems that personalize and strengthen user journeys.
  • Translate complex analysis into clear, practical recommendations that inform decisions.

What You Bring

  • 3+ years in back-end or full-stack engineering, with meaningful data science or analytics experience (or the reverse).
  • Strong proficiency in a server-side language (Python preferred; Node.js, Ruby, or Java also welcome) and building RESTful APIs.
  • Strong SQL, plus experience working with both SQL and NoSQL databases.
  • Strong ability to set goal metrics for a team and track progress over time.
  • Proven experience building and maintaining data pipelines.
  • Experience defining and tracking metrics, plus logging and instrumentation.
  • Experience setting up and running experiments to measure impact.
  • Data visualization skills and the ability to communicate analysis in a clear, compelling way.
  • A self-starter who thrives with autonomy and strong problem-solving skills and intellectual curiosity.
  • Excellent cross-functional collaboration and communication skills.
  • A bachelor's degree in Computer Science, Data Science, Data Engineering, or a related field, or equivalent practical experience.
  • A deep commitment to Lean In's mission to inspire and equip women to lead.
  • Alignment with the Sandberg Bernthal Family Foundation's initiatives, including building resilience and advancing equality.

The Sandberg Goldberg Bernthal Family Foundation is committed to Equal Employment Opportunity without regard to age, race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, religion, or any other status projected by law. It’s important to us that people of all identities and backgrounds see themselves represented and included in our work, so we actively encourage people of all identities and experiences to apply. We provide reasonable accommodations for applicants with disabilities; contact the hiring manager to request one. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Before you apply, please review our approach to AI in the hiring process here.

Base Salary

$130,000 – $200,000, based on experience, skills, and qualifications

Performance Bonus

Up to 10% of base salary annually

Benefits

Medical, dental, and vision insurance; 401(k) with a 4% employer match; generous paid time off; and additional benefits designed to support well-being and long-term success

Source

Posted by Lean In on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 12:23 UTC; the original is the reference.

View the original ad ↗

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