Strategic Operations Lead in San Francisco

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, agitation associated with dementia due to Alzheimer’s disease, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, as well as multiple novel product candidates addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain’s biggest problems so patients and their loved ones can flourish. For more information, please visit us at www.axsome.com and follow us on LinkedIn and X . About This Role Axsome Therapeutics is currently searching for a field based Long-Term Care (LTC) Specialty Account Manager (SAM) to drive LTC commercial activities for an assigned geography by executing marketing strategies to ensure a successful launch and make a meaningful difference through the execution of commercial activities. SAMs will be responsible for product performance at a territory level and expected to be a disease state expert, product champion and an account specialist. The SAM will provide account management support and exhibit business knowledge of the local landscape to assess key stakeholders plus future trends within the marketplace. Job Responsibilities and Duties include, but are not limited to, the following: Drive product adoption in LTC facilities Proficient in both virtual and live customer engagements Effectively call on LTC Care teams, building meaningful relationships across the entire LTC ecosystem: Psychiatrists

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role & Team Agentic Amplitude is the team that’s responsible for Amplitude's AI agent strategy. The team shipped the Amplitude Global Agent, Custom agents, and our MCP surface, and continues to deliver new products at a fast pace. The team is small, moves fast and thrives on curiosity, autonomy, and strong cross-functional partnership. We operate with a bias toward rapid iteration and refine our approach as the underlying technology and models advance. This role is the product lead for this surface area. The successful candidate will set the strategy and vision and lead the design and engineering teams to deliver new innovations, while serving as the company’s thought leader on agentic products. Responsibilities Define the direction for Amplitude's agents and MCP surfaces over the next 12 to 24 months, and determine the priorities that will gu

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About The Role Snorkel is hiring a Head of Security to build and lead our security function end-to-end — infrastructure security, application security, and governance, risk & compliance (GRC). You'll own the security function end-to-end — strategy, team, and execution — and operate as the primary security voice with customers, auditors, and the exec team. You'll report to the CTO. This is a builder's role: you'll take security from its current state to a mature, right-sized function as Snorkel scales, hiring and developing the team as needs grow. Key Responsibilities Security Leadership & Team Building Define Snorkel's overall security strategy,

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 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Media Experience team exists to empower users to discover, consume, and engage with the best media content on Reddit. We do that by making video consumption intuitive and engaging. Because video is a powerful medium for community connection, our goal is to ensure our video experience is best-in-class for every user. Our north star is growing video views and video users . These are users who consistently return to Reddit for the unique, authentic content that fuels our communities. Achieving this level of consistent engagement requires a product flywheel that surfaces the right video features, UI optimizations, and playback improvements at the right moment to accelerate organic engagement. We use data, Quality of Experience (QoE) signals, and rapid product experimentation to identify and resolve any friction preventing a seamless viewing experience. We move with urgency, instrument everything, and treat a missed engagement milestone as a signal to learn from, not a number to ignore. If you want to build iOS video experiences that measurably change the trajectory of tens of millions of users and improve the overall engagement of Reddit itself, this is your team. What you’ll do: 🚀 Drive the Technical Strategy for Media Engagement Lead the iOS architecture for user-facing features that boost video discovery and consumption. You’ll design and build immersive viewing surfaces and intuitive UI/UX flows that directly maximize watch time, user retention, and daily active video consumers. 🔬 Champion for User Experience With

The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts. What You Will Be Doing Understand and uncover business challenges and issues faced by the customer and be able to run targeted discovery sessions or workshops Engage with business users to define, create, and showcase solution prototypes Build and present customized demos for customers, trade shows, and webinars Confidently present and articulate the business value of the Sigma platform to all levels within an organization Deliver product, technical, and security related responses to RFPs/RFIs Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets Work as a team player by contributing, learning, and sharing new knowledge Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma Manage multiple customer engagements concurrently Attain quarterly and annual objectives assigned by management Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise Qualifications We Need Minimum 2 years of analytics, business intelligence, or sales engineering experience Customer relationship skills Strong understanding of database concepts Understanding of advanced spreadsheet concepts Cloud

AI only answers correctly when it can trust the data underneath it. This role owns two connected parts of how Sigma shows up in that world: where Sigma's experience lives outside its own product (MCP, a CLI, the Claude and ChatGPT marketplaces, integrations like Slack, Teams, and Glean), and the semantic layer that makes every one of those surfaces trustworthy. The first mandate is Sigma's AI ecosystem: defining Sigma's approach to MCP, giving external agents structured, governed access to Sigma's data model; owning the CLI, giving developers a fast way to work with Sigma outside the UI; and building Sigma's presence in the Claude and ChatGPT marketplaces, plus integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they already work. This is some of the most visible, fastest-growing surface area in the product. The second mandate is the semantic layer underneath it all. Every agent, chat answer, and integration is only as reliable as the data model behind it — get a metric definition wrong here, and every surface built on top inherits the mistake. This includes setting the roadmap for how semantic views connect across data platforms and how the model evolves as new AI capabilities emerge. What you'll do Define Sigma's approach to MCP, giving external agents and tools structured, governed access to Sigma's data model. Own the CLI roadmap, giving developers a fast, scriptable way to work with Sigma outside the UI. Build Sigma's presence in the Claude and ChatGPT marketplaces, along with integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they're already working. Set the roadmap for Sigma's data modeling strategy, including how semantic views connect across data platforms and how the semantic layer evolves as new AI capabilities emerge. Partner with engineering and design to ship integration and semantic modeling capabilities that hold up at enterprise scale.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. About our Customer Platform team: Our Customer Platform Team plays a pivotal role in integrating our platform with external systems and ensuring seamless, reliable connectivity for both internal users and customers. As the leader of this team, you’ll drive the strategy, architecture, and development of our connectivity solutions, focusing on API integration, distributed systems, and a robust data platform. Your role will be crucial in maintaining and enhancing our platform’s ability to meet the needs of both our internal and external stakeholders. Responsibilities: Own large areas within our product Comfortable working cross functionally, whether that be internal or external customers Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 7-10 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Abil

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate t

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web develo

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Designer at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. About the Role In this role, you’ll join the Core Dasher team within our Dasher organization, focused on one of DoorDash’s highest-priority challenges: growing and retaining Dasher supply. The team works across Growth and Financial Products to identify new ways to create value for Dashers, including exploring how Crimson, financial incentives, and financial wellness offerings can become meaningful growth levers. You’ll help lead 0→1 opportunities from strategy through launch, partnering across Product, Engineering, Data Science, Marketing, and Finance to build experiences that can scale across the U.S. and international markets. You will report to the Head of the Core Dasher team within our Dasher organization. We operate in a hybrid model, with 1–2 days per week in one of our Design Hubs in San Francisco or New York City. You’re excited about this opportunity because you will… Define projects with a clear point of view on what to build, writing briefs that synthesize business and customer inputs into roadmap milestones; balance customer needs, business goals, and feasibility to shape what your team builds and why Bring clarity to ambiguous, cross-team problems and turn them into actionable work that ships; drive prioritization across your team and adjacent teams, making tradeoffs between design quality, speed, and impact so the highest-leverage work moves first Shape key projects from concept through execution — staying close enough to resolve issues during iteration, gu

About the Team Our team exists to empower DoorDash Mobile engineers. We are the champions of three core pillars: Quality, Velocity, and Efficiency. Ultimately, our goal is to build the supportive infrastructure that allows our fellow engineers to build, ship, and operate apps at massive scale—with confidence and ease. We believe that a great developer experience leads to a great customer experience. About the Role We are looking for an Engineering Manager to lead our Mobile Developer Experience team (also known internally as the Mobile Foundations team). In this role, you’ll not only set the technical vision but also nurture the culture required to build world-class mobile applications. Your team will concentrate on one vertical—ZeroKit, which enables rapid mobile prototyping via agents—and two horizontal infrastructure pillars: the iOS and Android monorepos. You will partner with senior engineers and stakeholders across the company to design systems that make our platform faster, more reliable, and more efficient. You will be a partner to your customers—your fellow engineers—working side-by-side to understand their hurdles and solve their immediate challenges. You’ll also look to the future, anticipating needs so we can deliver solutions before they become blockers. Crucially, this role will support our growing international engineering footprint and unified technology stack, meaning you and your team will work across our DoorDash, Wolt, and Deliveroo brands. This is a unique opportunity to lead a team through a mix of exciting greenfield initiatives and the refinement of established, successful tools. You must be located in the following locations for this opportunity: San Francisco, CA; Sunnyvale, CA; Seattle, WA; Los Angeles, CA; New York, New York. You’re excited about this opportunity because you will… Develop and maintain foundational components to enable DoorDash Engineers to excel at mobile engineering. Lead the development and strategy for ZeroKit to enabl

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Senior Reliability & Test Engineer to join our team. This individual will play a key role in the development and validation of our unmanned platforms at the system and component levels. You will partner closely with EE, ME, and Autonomy teams to translate mission needs into robust, reliable hardware. The ideal candidate thrives in a fast-moving, cross-functional environment where reliability and test rigor determine program success. You will be hands-on in developing test methods and equipment to uncover failures before they happen in the field. You will partner closely with EE, ME, and Autonomy teams to translate mission needs into robust, reliable hardware. The ideal candidate thrives in a fast-moving, cross-functional environment where reliability and test rigor determine program success. You’re excited about this opportunity because you will… Architect and implement rigorous validation strategies, utilizing Python scripts for automation while leveraging CAD and shop tools to engineer bespoke test fixtures and hardware rigs. Oversee experimental execution across internal facilities and external laboratories, maintaining technical mastery over vibration tables, environmental chambers, DAQ systems, and ingress protection testing. Translate high-level vehicle reliability requirements into granula

About the Team The Support Quality team’s vision is to “Provide teammates, team leads, and AI Agents with actionable feedback on 100% of cases so they can get 1% better every day. Deliver actionable business insight to wider S&O to help improve business policy and processes / Product teams to increase our customer experience.” About the Role You will report to the Director, Teammate Enablement, in our Customer Experience organization. The Teammate Enablement Team is responsible for ensuring that our Teammates have the resources (tooling, quality measurements, and knowledge base) and training to effectively and empathetically support DoorDash’s customers. Where opportunities are identified, we drive feedback to our business partners in order to empower Teammates to be 1% better every day for our customers. The team’s primary role will be to: i) build automated QA metrics that have high coverage, precision, and low false-positive rates; ii) support all manual QA efforts, including incubation and scale-up of new measurements; iii) deliver actionable insights to our partner teams to help improve the processes and policies on our support experience, as well as insights for our vendors to drive better agent performance management; and iv) manage our QA tech providers to ensure they deliver against our ambitious roadmap. This is a leadership role, with the expectation of managing the priorities of a small team while remaining accountable to key initiatives oneself. You’re excited about this opportunity because you will… Lead a small team centered around identifying and fixing top opportunities in our quality assurance programs that support customer service at DoorDash. Design, launch, and evolve our conversational intelligence program, utilizing AI technology to monitor, measure, and drive continuous improvements in our customer service interactions. Drive the strategy of our quality assurance program, identifying the right strategies to balance manual quality assuranc