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Us External Affairs Associate in San Francisco

185 active opportunities · Updated October 2026

Explore current us external affairs associate jobs in San Francisco. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 San Francisco, Canada· Full-time
✓ High-confidence listingCompany trend -100%

$220K – $260K/yr

Quick readStrong listing-quality and freshness signals

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 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 The Counsel team is a close-knit and collaborative team that supports the entire Nextdoor community. Each member of our team brings individual opinions, perspectives and expertise, and we work together to ensure excellence and consistency in legal advice and counsel across the company and globally. We are reliable, trustworthy, and innovative in our support of Nextdoor’s business goals, and Nextdoor’s purpose of cultivating connected communities and a kinder world. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also 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. This role is based in San Francisco. The Impact You’ll Make As Privacy and Regulatory Compliance Counsel, you’ll be responsible for analyzing current and developing laws that impact the Nextdoor platform and suite of products, developing practical and balanced compliance plans, and working cross-functionally with teams across the organization to put these plans into action. These laws cover a broad range of topics across all 11 jurisdictions in which we operate, including data privacy (GDPR, CPPA and similar US state privacy laws), AI, a

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📍 San Francisco, Canada· Full-time
✓ High-confidence listingCompany trend -74.4%
Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. Our engineering team is growing rapidly, and we are looking for Engineering Managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Responsibilities: Manage a rapidly growing team of engineers developing user-facing Mapping experiences Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in your organizat

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📍 San Francisco, Canada· Full-time
✓ Quality checkedCompany trend -74.4%

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is hiring an experienced, talented and energetic Global Equity Program Manager to support Lyft’s global equity function. This role will support execution, rapid international expansion, management of increasing transaction volume, and building critical infrastructure for our global equity programs. The successful candidate will play a key role in driving the long term strategy and rolling out world class equity programs developed for precision and ease of execution. You will partner cross functionally on the design and delivery of ongoing programs, including compliance, tax, mobility, and employee education. The successful candidate will be an entrepreneurial and resourceful self-starter, comfortable working in a fast-paced and dynamic environment and excellent at building strong relationships. You will report to the Director, Global Equity Programs in our Legal organization. Responsibilities: Support administration of Lyft’s global equity programs including processing all awards, grants, exercises, cancellations and the issuance of all new grants in the US and in foreign jurisdictions, including managing RSUs, PSUs, ESPP, capital markets transactions and other equity programs. Continue to drive system automation on the Schwab Equiview platform across Workday and ADP. Develop and deliver world class employee education programs for new and continuing employees with a focus on mechanics and overall financial wellness. Support all aspects of SOX compliance and continuously work to build efficiencies around execution and documentation of key controls. Engage with senior leadership from the legal, fin

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📍 San Francisco, Canada· Full-time
✓ High-confidence listingCompany trend -87.1%

From $200K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. The Trust Frontier AI team is where new AI technology for Trust gets invented and proven. We build specialized models for mission-critical trust and safety problems, develop the AI agents and agentic capabilities that automate trust decisions, and create the benchmarks and evaluation harnesses that keep decision quality high as those agents take on more autonomy. We work on problems before the answer is known — prototyping, experimenting, and iterating with our partner teams until a solution proves itself against real business and top line metrics. You'll work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams. Together, you'll design and build ML solutions that have direct, meaningful impact on user trust, b

PythonJavaMachine LearningAI
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📍 San Francisco, Canada· Full-time
✓ High-confidence listingCompany trend -87.1%

From $212K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’l

Machine LearningAIRust
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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$150K – $230K/yr

Quick readStrong listing-quality and freshness signals

Sigma Computing is seeking an experienced employment counsel to provide legal guidance on all aspects of employment law across the organization. This role will partner closely with People Operations, leadership, and business teams to manage risk, ensure compliance, and support a positive employee experience in a fast-paced, high-growth technology environment. Key Responsibilities Provide legal advice on employment-related matters including onboarding, performance management, disciplinary actions, terminations, and reductions in force; Ensure compliance with federal, state, and local employment laws and regulations (U.S. and, if applicable, international); Draft, review, and update employment agreements, offer letters, contractor agreements, policies, and handbooks; Advise on employee relations issues and dispute resolution; Manage and oversee outside employment counsel and litigation matters; Complete workplace investigations; Partner with People Ops (HR) and Governance, Risk, & Compliance (GRC) teams on compliance training, and policy implementation; Monitor changes in employment law and proactively recommend updates to company practices; Support M&A, due diligence, and integration efforts related to employment matters as needed. Qualifications Juris Doctor (JD) from an accredited law school; Active license to practice law in at least one U.S. jurisdiction; 5+ years of experience practicing employment law (in-house experience at a technology or SaaS company preferred); Workplace investigation training and experience; Strong knowledge of U.S. employment laws (FLSA, ADA, FMLA, Title VII, wage & hour, classification, etc.); Ability to provide practical, business-oriented legal advice is essential; Workplace investigation training and experience; Experience working closely with HR/People teams and senior leadership; and Excellent communication, judgment, and stakeholder management skills. Preferred Qualifications Experience s

PythonSQLAWSAI
SC
📍 San Francisco, Canada
✓ High-confidence listing

$140K – $170K/yr

Quick readStrong listing-quality and freshness signals

Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with

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