Content Manager Jobs in San Francisco, CA
Content Manager jobs in San Francisco are concentrated in SoMa, the Financial District, and Mission Bay, across tech, media, and fintech companies building out editorial and digital marketing teams. Employers hiring right now include OpenAI, Rippling, and Airwallex. Scan the live roles below and apply to whichever ones fit.
Find Content Manager JobsOverview
Showing 5 of 138+ Content Manager jobs
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Pinterest helps Pinners discover and do what they love. The Content Foundation ML team is responsible for understanding the semantic meaning of Pinterest content and generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of machine learning, large multimodal models, data infrastructure, and product adoption to build foundational content understanding capabilities that support Discovery, Search, Growth, and Ads. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.
What will you be doing:
- Lead, mentor and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure and systems that are integral to key Pinterest products across Discovery, Search, Growth, and Ads.
- Provide thought leadership in content understanding and machine learning by setting a long-term technical vision for semantic signal generation, reusable foundational layers, and scalable model-powered infrastructure. Partner closely with product, data science, and downstream engineering teams to ensure these signals drive meaningful impact across Pinterest.
- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
- Help the team solve difficult technical challenges such as:
- How to leverage the latest VLM and LLM technologies to understand the full semantic richness of Pinterest content and generate high-quality signals with strong precision, recall and coverage across multiple locales?
- How to build reusable foundational layers such as captions, summaries and semantic descriptors that can power multiple downstream use cases efficiently and at low infra cost?
- How to improve inference throughput, freshness and serving efficiency so that content understanding signals can keep up with millions of new Pins and evolving content every day?
- How to measure and improve the downstream impact of content understanding signals on relevance, personalization, engagement and ads performance across different surfaces?
- How to build robust monitoring, evaluation and debugging systems that ensure signal quality, accessibility, latency and freshness at scale?
What we're looking for:
- 7+ years of industry experience, including 2+ years of management experience.
- Masters degree in computer science, computer engineering, or equivalent work experience
- Publication at top machine learning and data mining conferences (e.g., NeurIPS, ICML, KDD, SIGIR)
- Experience with:
- Large scale distributed training and inference of LLM and VLM models.
- Distributed tooling for ML data pipelines, e.g. Hadoop, Spark.
- Leading ambiguous ML projects to build, apply and improve GenAI models for content understanding and recommendation systems.
- Proven technical leadership across both ML and Data systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.
- Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA.
#LI-REMOTE
Our Commitment to Inclusion:
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Pinterest helps Pinners discover and do what they love. The Content Foundation ML team is responsible for understanding the semantic meaning of Pinterest content and generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of machine learning, large multimodal models, data infrastructure, and product adoption to build foundational content understanding capabilities that support Discovery, Search, Growth, and Ads. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.
What will you be doing:
- Lead, mentor and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure and systems that are integral to key Pinterest products across Discovery, Search, Growth, and Ads.
- Provide thought leadership in content understanding and machine learning by setting a long-term technical vision for semantic signal generation, reusable foundational layers, and scalable model-powered infrastructure. Partner closely with product, data science, and downstream engineering teams to ensure these signals drive meaningful impact across Pinterest.
- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
- Help the team solve difficult technical challenges such as:
- How to leverage the latest VLM and LLM technologies to understand the full semantic richness of Pinterest content and generate high-quality signals with strong precision, recall and coverage across multiple locales?
- How to build reusable foundational layers such as captions, summaries and semantic descriptors that can power multiple downstream use cases efficiently and at low infra cost?
- How to improve inference throughput, freshness and serving efficiency so that content understanding signals can keep up with millions of new Pins and evolving content every day?
- How to measure and improve the downstream impact of content understanding signals on relevance, personalization, engagement and ads performance across different surfaces?
- How to build robust monitoring, evaluation and debugging systems that ensure signal quality, accessibility, latency and freshness at scale?
What we're looking for:
- 7+ years of industry experience, including 2+ years of management experience.
- Masters degree in computer science, computer engineering, or equivalent work experience
- Publication at top machine learning and data mining conferences (e.g., NeurIPS, ICML, KDD, SIGIR)
- Experience with:
- Large scale distributed training and inference of LLM and VLM models.
- Distributed tooling for ML data pipelines, e.g. Hadoop, Spark.
- Leading ambiguous ML projects to build, apply and improve GenAI models for content understanding and recommendation systems.
- Proven technical leadership across both ML and Data systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.
- Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA.
#LI-REMOTE
Our Commitment to Inclusion:
See All 138+ Content Manager Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Content Manager JobsContent Manager Job Market in San Francisco
Who's Hiring
- OpenAI12
- Rippling12
- Airwallex12
- Giga6
- Braze6
Top Industries Hiring
- Technology & Software23
- Law & Legal Services6
- Transportation & Logistics6
Content Manager Jobs in San Francisco: Frequently Asked Questions
How do I get a content manager job in San Francisco?
Focus on San Francisco's dominant hiring sectors: enterprise software, fintech, and digital media companies clustered in SoMa and the Financial District. Candidates who demonstrate experience with content strategy, SEO-driven editorial, and cross-functional campaign work stand out in this market. Building a portfolio that shows measurable results, whether traffic growth, lead generation, or brand reach, gives you a clear edge over applicants with general writing backgrounds.
Which companies hire content managers in San Francisco?
Employers hiring content managers in San Francisco right now include OpenAI, Rippling, and Airwallex, based on current listings on Migrate Mate as of October 2026. San Francisco's hiring base skews heavily toward technology platforms, B2B SaaS companies, and consumer fintech firms that maintain large content operations for product marketing, SEO, and thought leadership.
Are there remote content manager jobs in San Francisco?
Yes, content manager roles are well-suited to remote work given that the core output is digital. About 84% of content manager openings tied to San Francisco are remote or hybrid as of October 2026, reflecting how broadly San Francisco employers have embraced flexible arrangements for editorial and marketing roles. Strategy, writing, and editorial calendar management are the functions most commonly offered remotely.
How can I get a content manager job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is starting in a content coordinator or associate content strategist role at a mid-size SaaS or fintech company, where smaller teams give junior hires broader exposure. San Francisco startups in SoMa and the Mission frequently hire candidates who bring a strong portfolio of freelance work, a company blog, or a demonstrated niche audience. Showing familiarity with content management systems and basic SEO tools closes the gap faster than credentials alone.
Which industries hire the most content managers in San Francisco?
Most content manager openings in San Francisco sit in Technology & Software, Law & Legal Services, and Transportation & Logistics, per current listings on Migrate Mate as of October 2026. San Francisco's concentration of venture-backed technology firms, enterprise software companies, and consumer fintech platforms drives sustained demand for content talent to support product launches, SEO growth, and B2B demand generation.
Related Jobs in California
See All 138+ Content Manager Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Content Manager Jobs