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Machine Learning Engineer Ii Core Engineering in San Francisco

238 active opportunities · Updated October 2026

Explore current machine learning engineer ii core engineering jobs in San Francisco. Filter by work mode, employment type, experience, department, date posted and distance.

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41/100

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Hiring trend

-72.5%

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Remote options

25.5%

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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -79.1%
Quick readStrong listing-quality and freshness signals

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager focused on TPUs at Baseten, you will lead the "engine room" for our non-NVIDIA accelerator fleet, architecting, securing, and optimizing the Google Cloud TPU (and broader emerging accelerator) capacity that powers our customers' AI workloads. You'll own the end-to-end journey of capacity management for this fleet, from securing large-scale TPU pod allocations to building the automation that ensures reliable uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering, with a specific focus on the TPU ecosystem. You will act as the fleet orchestrator for Google's TPU architecture, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics as we diversify beyond NVIDIA. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the latest generation of TPU hardware, like Google's Trillium (v6e) architecture, and partnering closely with the Model Performance (MP) team to ensure workloads are tuned for TPU-specific execution. EXAMPLE INITIATIVES The TPU Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's TPU clusters, including pod slicing and topology planning Global Workload Orchestration: Bui

PythonAWSAzureGCP
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📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -79.1%
Quick readStrong listing-quality and freshness signals

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Lead at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. The Supply Chain of Intelligence: Partnering with lead

PythonAWSAzureGCP
O
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -80.2%
Quick readStrong listing-quality and freshness signals

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our Go-to-Market team helps organizations understand, adopt, and deploy OpenAI’s technology to solve meaningful business challenges and create lasting value. The Technology team works with leading software, internet, cloud, infrastructure, cybersecurity, semiconductor, and digital-native companies as they build new AI-powered products, transform internal operations, and rethink how they serve their customers. We partner with executives, product leaders, engineers, and go-to-market teams to help organizations integrate OpenAI’s capabilities into their products and businesses responsibly and at scale. The team collaborates closely with Solutions Engineering, Customer Success, Product, Research, Partnerships, Marketing, and Operations to turn customer priorities into successful, durable deployments. About the Role We are looking for an experienced Account Director, Tech to help build and grow OpenAI’s business across the technology industry. You will own relationships with a portfolio of strategic technology companies, helping executive, product, and technical leaders understand how OpenAI’s products can accelerate innovation, improve productivity, and create differentiated customer experiences. You will be responsible for developing account strategies, creating qualified pipeline, navigating complex enterprise sales cycles, and expanding adoption across products, teams, and use cases. This role requires a combination of enterprise sales leadership, technical fluency, commercial judgment, and the ability to operate credibly with both business and engineering stakeholders. You should be comfortable engaging with customers that have sophisticated technical environments, rapidly evolving AI strategies, and high expectations for product performance, security, reliability, and scale. Success in this role will be measured by revenue growth, depth of customer adoption,

AWSGitRestMachine Learning
B
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -79.1%
Quick readStrong listing-quality and freshness signals

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is looking for a Product Designer to help shape the next generation of our platform. You'll join a small design team with a lot of ownership and a high bar for craft, working across the entire Baseten product to solve hard problems for technical users. This role covers the full arc of the work: early exploration through production. You'll establish patterns that show up across the product, evolve our design system, and raise the quality bar as we scale. RESPONSIBILITIES Lead product design end to end, including research, product definition, prototypes, design reviews, specs, and final implementation. Work directly with engineering and product to frame problems, explore solutions, and ship quickly. Collaborate with customers to understand their workflows, validate ideas, and test prototypes. Push the visual and interaction quality of the Baseten product across surfaces. Create interactions and details that make complex technical workflows feel clear, fast, and polished. Evolve our design system and establish patterns that scale across a growing product. Look across the product for opportunities to improve consistency, usability, and overall quality. Get into the code with engineers to polish UI and make sure the shipped experience matches the design. Help shape how the design team works and raise the bar for product quality across the company. REQUIREMENTS A portfolio that demonstrates strong visual and

JavaScriptTypeScriptJavaReact
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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure. RESPONSIBILITIES Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s. Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work. Foster a culture of ownership, accountability, and continuous improvement. Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate th

KubernetesCI/CDGitMachine Learning
C
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by leading the design of high-performance, scalable and reliable machine learning systems? Do you want to set technical direction and help shape the next generation of AI platforms powering advanced NLP applications? We are looking for a Lead Member of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will provide technical leadership across multiple teams, driving the architecture and strategy for deploying optimized NLP models to production in low latency, high throughput, and high availability environments. You will serve as a key point of contact for customers, leading the design of customized deployments to meet their specific needs, and mentoring engineers to raise the technical bar across the team. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure at a large scale, with a track record of technical leadership Demonstrated experience leading the architecture

AWSAzureGCPKubernetes
P
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -72.3%
Quick readStrong listing-quality and freshness signals

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

PythonSQLAWSMachine Learning
P
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -72.3%

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Senior Data Scientist - Network Value (Plaid App) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Senior Data Scientist supporting Plaid App, a critical user-facing product within Plaid’s Network Value portfolio. In this role, you’ll become a data and analytical thought partner to product managers and engineers, helping drive data-informed product development as the team launches and scales the product from 0 to 1. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and metrics tied to business goals, and support feature ship decisions through experimenta

PythonSQLAWSMachine Learning
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. About the Role As a member of Agent Post-Training, Connectors, you will teach models how to interface with the top professional software using code. You will help train agents to use code, APIs, tools, and structured integrations to operate across applications like Slack, Google Workspace, GitHub, Notion, Linear, Salesforce, and other core systems of work. You will help enable models to take useful actions across a user’s digital context: finding information, updating systems, coordinating work, generating artifacts, and completing multi-step workflows through the tools teams already use. You will train models to be supercharged by the world’s most important productivity and enterprise software, turning connected tools into a powerful action surface for our agents. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people.

AWSGitRestMachine Learning
O
📍 San Francisco, California, United States
✓ High-confidence listingCompany trend +66.7%
Quick readStrong listing-quality and freshness signals

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Global Pricing Operations Team The Pricing Operations team works in a cross-functional, fast-paced, and dynamic environment with many moving pieces and evolving business needs. The team partners with Pricing Strategy Managers, Product Managers, Technology, Data & Intelligence, and various GTM teams to ensure Okta is operationally ready to bring new product pricing, buying programs, and strategic monetization initiatives to market. The Pricing Operations Principal Opportunity Okta is seeking a Pricing Operations Principal to lead initiatives that transform Okta's pricing strategy into successful go-to-market execution. A successful person in this role will be a strong collaborator, intensely curious, and supremely organized. They are known for connecting the dots, simplifying complexities, communicating clearly and proactively, and driving highly collaborative efforts to completion, even when the path forward isn't perfectly defined. In this role, you will serve as an operational leader for new pricing launches and a strategic buying-program implementation, establishing the integrated roadmap, operating cadence, decision-making framework, readiness criteria, and stakeholder communications required to bring these initiatives from concept through launch and sustained adoption. You will partner closely with senior cross-functional leaders to make complex tradeoffs, resolve dependencies, and ensure the business is ready to sell, quote,

Machine LearningArtificial IntelligenceAISalesforce
W
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend +8.1%
Quick readStrong listing-quality and freshness signals

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role AI research at WRITER isn't just about publishing papers — it's about building the scientific foundation that powers some of the most ambitious enterprise AI deployments in the world. As an AI research scientist, you'll be at the center of that work. You'll drive a high-impact research agenda focused on large language models, agentic reasoning, and the system-level capabilities that make AI genuinely useful at enterprise scale. This is a rare opportunity to do research that matters twice over — advancing the field and shipping directly into products used by hundreds of thousands of people every day. We're at an inflection point. Enterprises are moving from experimenting with AI to deeply embedding it across their operations, and WRITER's models are the engine making that possible. The work you do here — on post-training, planning, multi-step reasoning, and agentic workflows — will directly shape how the next generation of enterprise AI behaves, performs, and scales. You

PythonMachine LearningAI
D
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -93.7%

$135K – $207K/yr

Quick readStrong listing-quality and freshness signals

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: As Senior Platform Operations Manager, you will lead the strategy, execution, and optimization of our marketing technology ecosystem. You will architect, implement, and manage the systems and integrations that power our go-to-market (GTM) engine, with a sharp focus on scalability, data integrity, automation, and lead orchestration. This role is pivotal in ensuring that marketing, s

RestMachine LearningAIGo
P
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -72.3%

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We lead complex technical programs that help Plaid scale its engineering platform. We partner across Engineering, Infrastructure, Data, Security, ML, Legal, and Product to deliver company-wide technical initiatives that improve reliability, scalability, and developer productivity. You'll lead strategic technical programs from planning through execution. You'll partner with engineering leaders to align stakeholders, manage dependencies, drive decisions, and ensure successful delivery of complex initiatives. You'll work across a variety of technical domains, adapting quickly to new challenges and helping teams execute effectively. As a Technical Program Manager, you will lead high-impact, cross-functional initiatives. As a generalist, you may work on a variety of programs. An example is one that strengthens Plaid's data and machine learning platforms. You will partner with engineering, product, data, legal, privacy, and business stakeholders to drive complex technical programs from planning through execution. Your work will help improve data governance, modernize machine learning infrastructure, and accelerate the adoption of trusted, high-quality datasets that power analytics, artificial intelligence

AWSMachine LearningAIGo
A
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -98.8%

From $154K/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: Airbnb’s mission is to create a world where people can Belong Anywhere. As we work to achieve that mission, we’re building world-class learning experiences for our technical teams. We’re looking for an exceptional and creative individual inspired to deliver innovative learning experiences that have tremendous organizational impact. The Difference You Will Make: The Staff Program Manager, Technical Education will play a key role in executing various technical learning programs including our Engineering Education programs that currently focus on AI Education, and other engineering and data education programming. Our focus is on impact and experimentation, creating world-class programs that enable technical excellence. We’re employing best practices from learning science and using measurement to iterate on learning experiences. The ideal candidate is confident in their ability to develop scalable learning experiences that drive overall growth and development for our technical audience. We are looking for someone who has the ability to synthesize a range of concepts into unified experiences, stay up to date in a rapidly shifting technical ecosystem, establish systems and processes, and deliver top notch program management. A Typical Day: Collaborate on and develop program strategy for various technical programs, including AI Enablement, AI Education, Machine Learning Education, Data Education, Engineering Education with internal SMEs and other Technical Learning & Development team members Design, create content, and project manage in-person and virtual technical learning

GitMachine LearningAIGo
T
📍 San Francisco, California, United States· Full-time
✓ High-confidence listingCompany trend -50%

$155K – $207K/yr

Quick readStrong listing-quality and freshness signals

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. About the Role Reporting to the Infrastructure Director of Engineering, you are a pragmatic security leader who acts as a business enabler rather than a gatekeeper. You thrive in a high-velocity, non-regulated environment where you must define "what good looks like" from scratch and drive security progress with a blend of strong planning skills and strong cross-functional partnerships. You are a technical player-coach who manages the "how" behind engineering initiatives, providing direct guidance to a lean team which needs to navigate trade-offs between quality, depth, and delivery volume. You are just as comfortable planning core initiatives as you are writing a proposal for security program improvements. You have a proven track record of leading a team to achieve compliance with a security framework from scratch (e.g., CIS, SOC2, P

AgileMachine LearningAIGo

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