advisor - scientific data engineer

ai content specialist Jobs in San Francisco

ai content specialist

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai product manager

artificial intelligence specialist

Achira

<div><h1 class="jobSectionHeader">Why Achira</h1>
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
At Achira, you&rsquo;ll operate at the frontier scale of massive compute, massive data, and massive ambition. You&rsquo;ll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We&rsquo;re looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.<h1 class="jobSectionHeader">
About the Role</h1>
We&rsquo;re looking for machine learning researchers who want to shape the frontier of generative models for the atomistic microcosm. You will work at the intersection of cutting-edge machine learning, statistical mechanics, and approximate bayesian inference to help us conquer sampling problems at light-speed. In addition, you&rsquo;ll collaborate with experts in chemistry and physics to invent and implement models to unlock what&rsquo;s possible for Achira&rsquo;s microscopic world models.
While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed. Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.<h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Invent advanced sampling and simulation methods that integrate probabilistic inference, deep learning, and reinforcement learning to enable efficient exploration and simulation of learned energy landscapes for molecular systems.</li><li>
Design and train frontier generative models: diffusion, autoregressive, flow-based, and latent-variable architectures.</li><li>
Build models that can map between data distributions to bridge the gap between simulation and reality.</li><li>
Prototype, benchmark, and iterate rapidly to transform research ideas into reusable and scalable components across Achira&rsquo;s ecosystem.</li><li>
Collaborate with physicists and chemists to ensure models are grounded in real physics.</li><li>
Work with research engineers and the infrastructure team to identify where research ideas will need support in order to deliver effective results.</li></ul><h1 class="jobSectionHeader">
About You</h1><ul><li>
Interested in building generative models that describe real matter.</li><li>
Drive to build at the frontier of what&rsquo;s possible and try out new, high-risk ideas.</li><li>
Machine learning researcher with professional experience (post-degree) in an industry setting.</li><li>
Demonstrated research impact through conference talks or publications (in machine learning venues), open-source contributions, or released models.</li><li>
Strong interdisciplinary communication and presentation skills and the ability to translate ideas and concepts to colleagues from non-ML backgrounds.</li><li>
Proficiency in Python and modern ML frameworks (PyTorch, JAX).</li><li>
Experience collaborating on research projects across multi-person teams.</li></ul><h1 class="jobSectionHeader">
Nice to Have</h1>
Achira values excellent ML researchers from many backgrounds, and expect members of the team to contribute complementary strengths. If the work excites you, we encourage you to apply, even if you hit none of the bonus features listed below!<ul><li>
Experience working with models that operate on 3-D point clouds and dynamic data.</li><li>
Experience in sequential monte carlo methods.</li><li>
Experience with probabilistic programming.</li><li>
Experience with pre-training, mid-training, and post-training (especially reenforcement learning) parts of the model development process.</li><li>
Familiarity with statistical mechanics: working knowledge of sampling, estimators, and the Crooks/Jarzynski perspective of nonequilibrium statistical mechanics.</li><li>
Prior experience working in or with researchers in the domains of computational chemistry, biology, or materials science.</li><li>
Experience working with multi-cloud distributed compute systems.</li><li>
Experience working with multi-site distributed company team.</li></ul>
Compensation Range: $164,638 - $259,000</div>

ML Research Scientist (MLRS) - Generative AI

Distyl AI

<div><h1 class="jobSectionHeader">About Distyl AI
</h1>Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. 
 
We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. 
 
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.<h1 class="jobSectionHeader">
What We Are Looking For</h1>
Forward Deployed AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
Forward Deployed AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. Forward Deployed AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production</li><li>
Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs</li><li>
Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications</li><li>
Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value</li><li>
Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time</li><li>
Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve</li><li>
Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement</li><li>
Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact</li><li>
Take accountability for the production outcomes of the components, workflows, and systems you build</li></ul><h1 class="jobSectionHeader">
What We Require</h1><ul><li>
2+ years of software engineering experience</li><li>
Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work</li><li>
Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components &mdash; prompts, agents, tools, retrieval, evaluators, workflows, and integrations &mdash; into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes</li><li>
Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness</li><li>
AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems</li><li>
Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations</li><li>
Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users</li><li>
Willingness to travel. Travel is typically 10&ndash;30%, depending on the project, customer needs, and your role on the engagement</li></ul><h1 class="jobSectionHeader">
What We Offer</h1><ul><li>
The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package</li><li>
100% covered medical, dental, and vision for employees and dependents</li><li>
401(k) with additional perks (e.g., commuter benefits, in‑office lunch)</li><li>
Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems</li><li>
Ownership of high‑impact projects across top enterprises</li><li>
A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence</li></ul>
Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.</div>

Forward Deployed AI Engineer

Windfall

<div>As a Product Marketing Manager at Windfall, you&rsquo;ll help define how we position our people intelligence and AI capabilities in the market and how our revenue teams tell the Windfall story. You will report to the VP of Marketing and collaborate closely with Sales, CS, and Product to translate product capabilities into compelling narratives and practical go‑to‑market assets.

This role is ideal for a PMM who has already owned launches, messaging, and enablement for a product or segment and wants to extend that scope across multiple verticals and use cases.

We hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; (5) Act with integrity and trust.
<h3 class="jobSectionHeader">
Responsibilities:</h3><ul>
<li>Contribute to and maintain core messaging and positioning, ensuring it stays aligned with customer needs and the competitive landscape</li>
<li>Build and update sales collateral: pitch decks, one‑pagers, battlecards, vertical sheets, and objection‑handling guides</li>
<li>Partner with Sales and CS to understand where deals stall and create assets/messaging to unblock them</li>
<li>Support product and feature launches with messaging development, launch briefs, internal comms, and basic measurement</li>
<li>Collaborate on content and campaigns (e.g., webinars, whitepapers, event narratives) by providing POV, messaging, and story arcs</li>
<li>Conduct light competitive research and market scanning, turning insights into actionable guidance for revenue teams</li>
<li>Use AI tools to accelerate drafting, research, and asset iteration while maintaining quality and narrative control</li>
</ul><h3 class="jobSectionHeader">Requirements:</h3><ul>
<li>3+ years minimum of Product Marketing experience at a B2B SaaS company</li>
<li>Demonstrated ability to write clear positioning, value propositions, and sales narratives</li>
<li>Experience creating and iterating on sales collateral with direct feedback from Sales and customers</li>
<li>Comfort working cross‑functionally with Product, Sales, and CS</li>
<li>Strong written and verbal communication skills; confident presenting to internal teams</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3><ul>
<li>Experience in GTM data, sales intelligence, or BI tools</li>
<li>Exposure to one or more of Windfall&rsquo;s key verticals: nonprofit, financial services, retail, travel &amp; hospitality</li>
<li>Experience with AI tools in your workflow</li>
</ul><div>About Windfall</div>
<div>Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.</div>
<div></div>
<div>We comply with CCPA. For more information on how we comply, review our privacy notice.</div>
<div></div>
<div>Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>
<div></div>
<div>We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.</div></div>

Product Marketing Manager

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>8 years of experience with software development. 
</li>
<li>7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li>
<li>5 years of experience in a technical leadership role.</li>
<li>5 years of experience in a people management or team leadership role.</li>
<li>2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal etc.) or with GenAI-related concepts.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>5 years of experience working in a complex, matrixed organization. 
</li>
<li>Experience in building and deploying Agentic AI systems.</li>
<li>Experience in security domains.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way. 
 
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 

Our team is at the forefront of revolutionizing Google Security Operations (SecOps) through the power of artificial intelligence. We are developing a Security Agentic Platform to enable the development of first-party and third-party security agents to deliver a proactive, intelligent, and automated Agentic Security Operations Center (SoC).
 
 
In this role, you will lead a team of talented engineers in building the next generation of Security Agentic AI platforms and systems that will protect major organizations worldwide.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Guide, mentor, and grow a team of engineers focused on developing and deploying agentic AI for security that will power the Google Unified Security products.</li>
<li>Manage the technical goal and strategy for the Security Agentic AI, ensuring alignment with the broader security teams.</li>
<li>Collaborate with cross-functional engineering teams along with product management, data science, and security engineering to define product requirements and roadmaps, and deliver features.</li>
<li>Oversee the end-to-end development lifecycle, from ideation and design to implementation, testing, and deployment of AI-driven agentic security solutions.</li>
<li>Foster a culture of innovation and continuous improvement, staying abreast of the latest advancements in AI, machine learning, and cybersecurity.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineering Manager, Agentic Platform, Cloud Security

OpenAI

<div>
 
 About The Team
 
 
 
 The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways&mdash;especially for youth and families.
 
 
 We work across OpenAI&rsquo;s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility.
 
 
 This work is core to OpenAI&rsquo;s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You&rsquo;ll help define how teens and guardians engage with OpenAI products&mdash;ensuring those experiences are safe, compliant, and empowering.
 
 
 You&rsquo;ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You&rsquo;ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts.
 
 
 This is a high-impact, 0&rarr;1 opportunity to set the standard for how families interact with generative AI.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT.
 </li>
 <li>
 Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs.
 </li>
 <li>
 Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale.
 </li>
 <li>
 Help define safety and well-being metrics, and continuously improve user trust through technical interventions.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology.
 </li>
 <li>
 Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale.
 </li>
 <li>
 Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development.
 </li>
 <li>
 Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions.
 </li>
 <li>
 Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
 
 
</div>

Software Engineer, Youth Well-Being

<div>
 
 About The Role
 
 
 
 OpenAI&rsquo;s Applications organization spans several rapidly scaling businesses across Consumer, Enterprise, Developers, and Hardware. As OpenAI expands globally, the international business is becoming an increasingly important driver of growth, requiring deeper financial visibility, regional coordination, and market-specific investment decision-making.
 
 
 We are hiring a senior Strategic Finance thought partner to work closely with the Business Finance Officer (BFO), regional leadership and other Strategic Finance teams to drive the financial performance of OpenAI&rsquo;s international business. This role operates at the intersection of strategy, finance, and operations. You&rsquo;ll help leadership understand regional performance drivers, allocate investment effectively across markets, and ensure the organization scales globally with strong financial discipline.
 
 
 You&rsquo;ll also focus on the highest-leverage international priorities: building financial visibility across regions, improving operating rigor, identifying growth opportunities and risks, and ensuring alignment across regional leaders and central functional teams.
 
 
 This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected, with potential opportunities to live and work from one of our regional offices over time.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own financial visibility and performance management across OpenAI&rsquo;s international business, including regional revenue, growth, investment efficiency, and operating metrics.
 </li>
 <li>
 Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets.
 </li>
 <li>
 Support international expansion planning by helping evaluate market opportunities, investment priorities, and regional scaling strategies.
 </li>
 <li>
 Develop executive-level reporting and financial narratives to help leadership understand international business performance and inform strategic decision-making.
 </li>
 <li>
 Coordinate cross-functional planning and forecasting processes across international regions, ensuring alignment between regional teams, Strategic Finance, Data Science, GTM, and Corporate Finance.
 </li>
 <li>
 Help establish scalable operating frameworks and governance processes that enable OpenAI to manage a rapidly growing global business with increasing rigor and consistency.
 </li>
 <li>
 Drive international business reviews and recurring operating cadences, helping leadership track progress against regional goals and quickly surface emerging issues.
 </li>
 <li>
 Partner across the finance organization to support public-company-readiness initiatives and improve the quality, consistency, and scalability of international reporting.
 </li>
 <li>
 Help design and implement agentic workflows and AI-enabled operating processes that improve financial visibility, forecasting, and execution across global teams.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You Have
 
 
 
 <ul>
 <li>
 10+ total years of progressive experience in Investment Banking, Management Consulting, Private Equity, and Strategic Finance.
 </li>
 <li>
 4+ years of direct experience Strategic Finance at a high-growth technology company, ideally publicly traded.
 </li>
 <li>
 Exceptional modeling and analytical skills, with the ability to translate complex business drivers into clear, actionable frameworks.
 </li>
 <li>
 A proven ability to communicate verbal and written insights at the executive level; and to and influence cross-functional stakeholders at all levels.
 </li>
 <li>
 Deep curiosity about disparate business models and how a wide range of end markets will be shaped by AI.
 </li>
 <li>
 Strong organizational and process management skills, with a talent for orchestrating multiple parties to achieve an outcome.
 </li>
 <li>
 An enthusiastic "roll up your sleeves" mentality and an ability to deal effectively with ambiguity to thrive in an unstructured, fast-paced environment‬.
 </li>
 <li>
 High enthusiasm for experimentation with and the deployment of AI.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $234K - $260K
 
 
</div>

Strategic Finance, International

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The Experience
 
Salesforce is building the next-generation Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, semantic search, enterprise data discovery, and intelligent decision-making across the company. The platform serves as the foundational knowledge layer connecting enterprise data, business entities, ontologies, and relationships across multiple domains.
 
 
We are seeking both a Senior Member of Technical Staff (SMTS) and a Lead Member of Technical Staff (LMTS) to join our Enterprise Knowledge Graph and AI Engineering team.
 
 
The SMTS will serve as a senior engineer and core systems developer &mdash; heavily hands-on, developing, optimizing, and scaling core knowledge graph components, semantic pipeline workflows, and AI-powered frameworks. You will partner with Lead and Principal Engineers to implement technical designs and build production-ready scalable systems that support agentic AI use cases across the enterprise.
 
 
The LMTS will serve as a hands-on technical lead, systems designer, and ontology engineer &mdash; designing, building, and scaling core knowledge graph infrastructure, semantic schemas, and AI-powered developer frameworks. You will partner closely with Principal Engineers, Product Management, Ontology experts, and Data Engineering teams to turn high-level engineering visions into production-ready scalable foundations.
 
 
Both roles will actively implement and drive AI-powered engineering tools and developer platforms that improve engineering productivity, software quality, and delivery velocity across the organization. 
 
What You'll Actually Be Doing
<ul><li>Design &amp; Implement: Build and scale Salesforce's Enterprise Knowledge Graph platform components, focusing on performance, data throughput, system reliability, high availability, and robust data integrity. (LMTS: Lead hands-on design and implementation of platform subsystems; SMTS: Write high-quality, production-grade code.)
</li><li>Graph &amp; Ontology Engineering: Develop graph data models, write complex graph queries, and construct scalable data pipelines to ingest and map structured and unstructured data to enterprise ontologies and taxonomies. (LMTS: Also design enterprise ontologies, taxonomies, semantic layers, entity resolution frameworks, graph APIs, and vector search capabilities to support advanced RAG and agentic workflows.)
</li><li>Semantic Routing: Write and maintain Python-based semantic routing frameworks to parse, classify, and dynamically direct incoming queries to the appropriate knowledge graph indexes or vector databases. (LMTS: Design, optimize, and productionize routing frameworks at enterprise scale, steering queries to appropriate knowledge graphs, ontology sub-graphs, or vector databases.)
</li><li>AI Tooling &amp; Automation: Build, integrate, and leverage AI-powered developer tools and engineering automation platforms utilizing ecosystems such as Claude, Cursor, Windsurf, AI Agents, and Model Context Protocol (MCP) frameworks. (LMTS: Also develop, deploy, and optimize these tools; drive strategy and productionization.)
</li><li>Data Integration: Build scalable data pipelines and engineering patterns to ingest, transform, and orchestrate structured, unstructured, and third-party data sources into graph-based platforms mapped tightly to enterprise ontologies.
</li><li>Feature Ownership &amp; Technical Execution: Own the technical execution of specific platform features from concept through design, coding, testing, and production deployment. (LMTS: Also translate high-level technical visions and roadmaps into concrete system blueprints, ontology schemas, and execution plans.)
</li><li>Code Quality &amp; Rigor: Participate heavily in code reviews, write comprehensive automated unit/integration tests, and ensure adherence to engineering standards and operational best practices.
</li><li>Technical Mentorship: Provide technical guidance and mentorship to engineers on the team. (SMTS: Mentor MTS and Associate engineers. LMTS: Provide day-to-day guidance, code reviews, and design direction to SMTS, MTS, and associate engineers, fostering a culture of technical rigor and operational maturity.)
</li><li>Cross-Functional Collaboration: Work closely with Lead/Principal Engineers, Product Managers, and Data Engineering teams to deliver robust features aligned with broader enterprise AI priorities. (LMTS: Also partner with PMTS engineers and Ontology governance boards to ensure alignment with AI infrastructure standards.)
</li><li>Evaluate &amp; Innovate (LMTS): Conduct deep-dive evaluations of emerging graph technologies, ontology modeling tools, semantic reasoning frameworks, vector databases, and AI tooling to continuously modernize the platform.
</li></ul>You're Our Person If...
SMTS
<ul><li>Experience: 8+ years of hands-on software engineering experience in development, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Core Programming: Expert-level coding skills in backend ecosystems, with strong fluency in Python and standard object-oriented/functional programming languages.
</li><li>Semantic Routing &amp; AI: Hands-on experience developing and deploying custom semantic routers using Python (leveraging native embeddings, LangChain, or mathematical logic like cosine similarity) alongside RAG architectures, vector search platforms, and AI workflows.
</li><li>Graph &amp; Ontology Fundamentals: Solid experience working with graph databases and semantic web concepts (e.g., Neo4j, RDF/OWL, SPARQL, property graphs) and mapping data to structured taxonomies.
</li><li>Developer Tooling: Practical experience configuring, testing, or integrating AI-assisted engineering tools or automation workflows (e.g., Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks).
</li><li>Distributed Systems &amp; Cloud: Proven experience building applications on cloud-native systems (AWS, GCP, or Azure) utilizing microservices, REST/gRPC APIs, and event-driven data streaming (e.g., Kafka).
</li><li>Delivery: Track record of owning and successfully delivering complex features in an agile, production-scale environment.
</li></ul>LMTS
<ul><li>Experience: 10+ years of hands-on experience in software engineering, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Ontology &amp; Graph Expertise: Solid, hands-on experience designing and building Knowledge Graph platforms, formal ontologies, semantic models, taxonomies, or enterprise metadata management systems.
</li><li>Tooling &amp; Ecosystems: Strong hands-on experience with graph technologies and ontology engineering tools (e.g., Neo4j, TopQuadrant, Prot&eacute;g&eacute;, RDF/OWL, SPARQL, SHACL, property graphs) and semantic reasoning frameworks.
</li><li>AI &amp; Retrieval: Proven experience implementing graph-powered AI solutions, vector search platforms, Retrieval-Augmented Generation (RAG) architectures, and orchestrating agentic workflows.
</li><li>Semantic Routing Mastery: Demonstrated hands-on experience designing, optimizing, and productionizing custom semantic routers using Python (leveraging native embeddings, LangChain, semantic-router, or specialized mathematical logic like cosine similarity) to decouple intent handling from expensive LLM calls.
</li><li>Developer Automation: Experience deploying and integrating AI-assisted engineering tools or automation workflows using ecosystems like Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks.
</li><li>Backend &amp; Cloud: Strong experience with cloud-native system designs (AWS, GCP, or Azure), distributed systems, microservices, and high-throughput event-driven systems.
</li><li>Leadership: Demonstrated experience leading feature teams, guiding technical execution, and mentoring mid-to-senior level engineers.
</li></ul>Even Better If...
SMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
</li><li>Familiarity with ontology validation frameworks (e.g., SHACL) and data quality governance.
</li><li>Experience building integrations with data platform environments like Salesforce Data Cloud or enterprise CRM metadata architectures.
</li><li>Experience optimizing low-latency applications and heavy-throughput vector search lookups.
</li><li>Passion for engineering automation and driving personal/team velocity via advanced AI development tools.
</li></ul>LMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field with a focus on Semantic Web or Knowledge Representation.
</li><li>Direct experience integrating platforms with Salesforce Data Cloud, CRM platforms, or metadata-driven system designs.
</li><li>Experience with semantic routing at enterprise scale, high-throughput enterprise search systems, and graph-powered recommendation engines.
</li><li>Deep familiarity with advanced ontology governance, federated knowledge management, and data contract alignment.
</li><li>Proven track record of optimizing engineering team velocity through the tailored implementation of AI developer tooling.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Data Engineer (SMTS/LMTS) - Knowledge Graph & AI

Explore 40+ Artificial intelligence specialist in San Francisco this July. Find roles across top companies and apply now to boost your career.