Hr Business Partner At Thinking Machines San Francisco Ca jobs in San Francisco – Browse 10,619 openings on RoboApply Jobs

Hr Business Partner At Thinking Machines San Francisco Ca jobs in San Francisco

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Thinking Machines Lab logo
Full-time|$190K/yr - $300K/yr|On-site|San Francisco, California

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We envision a future where everyone has access to the knowledge and tools necessary to leverage AI for their unique goals.Our team consists of scientists, engineers, and builders who have developed some of the most utilized AI products, such as ChatG…

Feb 2, 2026
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Thinking Machines Lab logo
Full-time|$200K/yr - $250K/yr|On-site|San Francisco, CA

At Thinking Machines Lab, we are on a mission to enhance humanity through the advancement of collaborative general intelligence. Our vision is to create a future where everyone has the opportunity to leverage AI tailored to their individual needs and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most renowned AI products in the industry, such as ChatGPT, Character.ai, as well as open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking an Executive Business Partner to provide vital support to several technical leaders from our San Francisco office. Your role will be crucial in ensuring our team remains focused and organized by managing personal logistics and handling tasks that may otherwise be overlooked.This position is unique, requiring creativity and flexibility to adapt to various work styles and the dynamic challenges of a fast-paced startup environment. You will enjoy significant autonomy in decision-making without extensive supervision.What You’ll DoManage calendars, schedule meetings, and coordinate travel for 3-4 technical leaders.Act as the primary liaison between your supported leaders and other departments within the company.Assist with recruiting coordination efforts.Monitor projects and commitments to ensure nothing is overlooked.

Mar 19, 2026
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Thinking Machines Lab logo
Full-time|$175K/yr - $475K/yr|On-site|San Francisco

At Thinking Machines Lab, we strive to empower humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone can access the knowledge and tools necessary to harness AI for their specific needs and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most widely utilized AI products, such as ChatGPT and Character.ai, along with notable open-weight models like Mistral, as well as prominent open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleAs a Research Product Manager (RPM) at Thinking Machines Lab, you will play a pivotal role in driving complex, high-impact technical products and programs that encompass research, infrastructure, and applied initiatives. You will facilitate the transformation of ambitious concepts into reality by propelling cross-functional collaboration, ensuring projects maintain momentum, and fostering clarity in fast-paced, ambiguous settings.Your contributions will connect people, ideas, and systems, guaranteeing that our critical research initiatives remain aligned, well-defined, and progressing efficiently. This position is ideal for someone who excels in technical discussions, comprehends the intricacies of research, can conceptualize at a high level while also delving into detailed aspects, ultimately aiming to assist the company in executing at scale.Note: This is an "evergreen role" that we keep open on an ongoing basis to express interest. We receive numerous applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Nevertheless, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities arise. You are welcome to reapply if you gain more experience, but please refrain from applying more than once every six months. You may also find that we post job openings for specific roles related to separate projects or team needs. In those cases, you are welcome to apply directly in addition to this evergreen role.What You’ll DoDrive and coordinate large-scale research products and programs, ensuring that complex projects are executed efficiently, transparently, and with scientific rigor.Translate technical ideas into actionable, well-scoped plans, defining milestones and ensuring team alignment across model development, data campaigns, infrastructure, and product integration.Collaborate across disciplines—from research and ML infrastructure to legal and business development—quickly ramping up on new domains as necessary.Create and maintain compute and resource roadmaps, identifying bottlenecks and solutions to optimize project flow.

Nov 28, 2025
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Thinking Machines Lab logo
Full-time|$350K/yr - $475K/yr|On-site|San Francisco

Thinking Machines Lab brings together scientists, engineers, and innovators behind widely recognized AI products such as ChatGPT and Character.ai, as well as open-source frameworks like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The team is driven by a mission to enhance humanity through collaborative general intelligence, aiming for a future where AI adapts to individual needs and goals. Tinker, the lab’s fine-tuning API, empowers researchers and developers to customize advanced AI models for their own use cases. Tinker manages the infrastructure, allowing users to train open-weight models with their chosen datasets, algorithms, and objectives. As Tinker grows its user base and features, the team is expanding to better support the community. Role overview The Forward Deployed Engineer acts as the main point of contact for a broad range of clients, from solo developers to large organizations. This role identifies customer challenges and requirements, then translates those insights into actionable product improvements. Both customer interaction and product development responsibilities are central to this position. What you will do Triage and resolve customer issues across the full stack, including analyzing logs, reproducing failures, and tracing job executions. Develop tools, integrations, and automation to address recurring problems and speed up user support. Create and update clear documentation and practical guides based on real user experiences and implementations. Work closely with research and infrastructure teams to turn customer feedback into prioritized engineering tasks. Help shape Tinker’s product roadmap by sharing insights from daily customer interactions.

Apr 27, 2026
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Thinking Machines Lab logo
Full-time|$350K/yr - $475K/yr|On-site|San Francisco

Thinking Machines Lab aims to advance collaborative general intelligence, making AI accessible and adaptable for individuals and organizations. The team brings together scientists, engineers, and innovators behind well-known AI solutions, including ChatGPT, Character.ai, Mistral, and open-source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. Tinker, the lab’s fine-tuning API, helps researchers and developers customize AI models using their own data and algorithms. By handling the infrastructure, Tinker allows users to focus on training and deploying models that suit their needs. With a growing customer base and expanding features, the team is looking for a Software Engineer, Platform to support Tinker's continued development. Role overview This position centers on building and maintaining the core platform systems that power Tinker. The engineer will manage billing and usage metering, permissions and access control, organizational structures, data exports, audit logging, and the administrative tools that tie these systems together. Collaboration with product and legal teams is essential, as changes to features, pricing, and enterprise agreements will involve this role. What you will do Design the authorization layer for all products, including RBAC, API key scoping, organizational hierarchies, and permission boundaries. Oversee billing infrastructure, covering usage metering, plan management, payment processing, invoicing, and revenue recognition support. Develop and improve models for organizations and teams, such as seat management, SSO/SAML, workspace isolation, and invitation flows. Implement data export and deletion processes that align with enterprise standards and data residency requirements. Create audit logging systems to track user actions and decisions. This role is based in San Francisco.

Apr 27, 2026
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ReflectionAI logo
Full-time|On-site|SF

Our VisionAt ReflectionAI, we aim to create open superintelligence and ensure its availability to everyone. Our team, comprised of leading AI researchers and industry innovators from renowned organizations like DeepMind, OpenAI, Google Brain, Meta, and Character.AI, is on a mission to develop open-weight models that cater to individuals, agents, enterprises, and even nations.Role OverviewThe HR Business Partner will act as a strategic consultant to both technical and non-technical leaders. This critical position focuses on enhancing organizational effectiveness, fostering high-performance cultures, and guiding management through intricate people-related decisions.This pivotal role will lay the groundwork for the HRBP function, creating essential management toolkits, refining organizational design, advising on performance metrics, and facilitating connections between leadership and the broader People team. You will play a key role in ensuring our growth is intentional, high-performing, and well-judged, while establishing a robust foundation for future organizational expansion.Your ResponsibilitiesStrategic Leadership PartnershipCollaborate with leaders to enhance team effectiveness and organizational vitality.Provide insights on organizational design, role definition, and team structuring.Assist in workforce planning in alignment with business goals.Coach managers on performance feedback, accountability, and effective leadership practices.Support leaders in navigating change and scalability challenges.Performance & Talent ManagementGuide managers through performance assessments, calibration processes, and promotion considerations.Maintain high performance standards and consistency across all teams.Facilitate talent planning and succession discussions.Assist in performance improvement strategies and complex personnel decisions.Ensure that decisions are made thoughtfully, consistently, and are well-documented.Develop scalable frameworks for performance management and separation practices.Building for GrowthIdentify deficiencies in people practices and implement practical, scalable solutions.Partner with leaders to drive organizational health and performance.

Mar 4, 2026
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Adyen logo
Full-time|On-site|San Francisco

As an HR Business Partner at Adyen, you will play a pivotal role in shaping our talent strategy and driving employee engagement. We are looking for a dynamic individual with a strong background in human resources who can effectively partner with various teams to support organizational goals. You will develop and implement HR initiatives that foster a positive workplace culture and enhance employee performance.Your responsibilities will include advising leadership on HR matters, managing employee relations, and ensuring compliance with labor laws. You will also be involved in talent acquisition, performance management, and employee development programs.

Mar 31, 2026
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SquareTrade logo
Full-time|On-site|San Francisco

Join our dynamic team at SquareTrade as an HR Business Partner, where you will play a crucial role in aligning our human resources initiatives with our business objectives. Your expertise will help foster a collaborative work environment, drive employee engagement, and support our growth strategies.In this role, you will partner with leadership to develop and execute HR strategies that enhance organizational effectiveness. You will provide guidance on talent management, employee relations, and performance management, ensuring that our people are our most valuable asset.

Feb 13, 2026
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Thinking Machines Lab logo
Full-time|$350K/yr - $475K/yr|On-site|San Francisco, California

Thinking Machines Lab brings together scientists, engineers, and innovators who have contributed to well-known AI products such as ChatGPT, Character.ai, and open-weight models like Mistral. The team’s open-source projects include PyTorch, OpenAI Gym, Fairseq, and Segment Anything. Their mission centers on advancing collaborative general intelligence and making AI tools accessible for a wide range of users and goals. The Tinker platform offers a fine-tuning API that lets researchers and developers tailor advanced AI models to their needs. By handling the underlying infrastructure, Tinker enables users to train open-weight models with custom data, algorithms, and objectives. As demand grows, the team is adding new features and supporting an expanding community. Role overview The Full Stack Software Engineer will play a key part in building and maintaining the products and services that Tinker users depend on. This position involves working closely with frontend, backend, and infrastructure teams to deliver the Tinker console, developer tools, and essential features. What you will do Develop and enhance Tinker’s APIs and backend services using Python and Rust, focusing on areas like job submission, orchestration, billing, and usage tracking. Design and launch user interfaces, including the Tinker console and upcoming developer tools, using React and TypeScript. Refine the developer experience by improving SDK usability, error messages, API design, and onboarding processes. Work to increase system reliability, observability, and security in production, and participate in on-call rotations. Create internal tools that help research and infrastructure teams work more efficiently. Location This role is based in San Francisco, California.

Apr 28, 2026
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Thinking Machines Lab logo
Full-time|$350K/yr - $475K/yr|On-site|San Francisco

Thinking Machines Lab brings together scientists, engineers, and innovators who have shaped well-known AI products like ChatGPT and Character.ai, as well as open-weight models such as Mistral. The team also contributes to open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The company’s mission centers on advancing collaborative general intelligence, aiming to make AI accessible and adaptable to individual needs. Tinker, the company’s fine-tuning API, enables researchers and developers to customize advanced AI models using their own data and algorithms. Thinking Machines manages the infrastructure, giving users the flexibility to train open-weight models while focusing on their unique requirements. As Tinker expands, the platform continues to evolve alongside its growing community. Role overview The Site Reliability Engineer will focus on improving the reliability and resilience of the Tinker platform. This role involves close collaboration with platform engineers and research teams to strengthen every layer of the system, from infrastructure to user-facing services. What you will do Define and take ownership of end-to-end reliability, including CI/CD workflows, production observability, and incident response processes. Set Service Level Objectives for distributed training systems, balancing reliability, scheduling latency, and development speed. Design and implement monitoring and observability across the training pipeline. Manage incident response for Tinker, ensuring prompt recovery, thorough incident analysis, and systematic improvements to prevent recurrence. Enhance multi-tenant isolation and resource scheduling to support LoRA-based workload co-scheduling, maintaining both reliability and data separation. Collaborate with security teams to identify and address production vulnerabilities. This position is based in San Francisco.

Apr 28, 2026
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Resolve AI logo
Full-time|On-site|San Francisco

Join Our Team at Resolve AIAs the pioneering HR Business Partner at Resolve AI, you will be intimately involved with our Sales and Engineering teams, collaborating closely with our leadership and founders. Your role will be essential in crafting our organizational culture, designing structures, and refining people systems as we continue to grow and innovate.Your Role and ResponsibilitiesWork in tandem with Sales and Engineering leaders to align HR strategies with business objectives.Deliver comprehensive HRBP support across key departments, assisting managers and teams through phases of growth and transformation.Serve as a trusted advisor to team leaders, guiding them in performance management, feedback mechanisms, career progression, and effective leadership in a rapidly scaling environment.Lead initiatives focused on organizational health, including design, workforce planning, role clarity, and team effectiveness.Oversee vital HR programs for Sales and Engineering such as onboarding processes, performance evaluations, engagement surveys, and career development frameworks.Collaborate cross-departmentally with Recruiting, HR Operations, Finance, Legal, and IT to ensure a seamless and positive employee experience.Utilize data analytics to identify trends, highlight potential risks, and provide strategic recommendations to leadership.

Jan 30, 2026
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Thinking Machines Lab logo
Full-time|$175K/yr - $300K/yr|On-site|San Francisco, California

Thinking Machines Lab brings together scientists, engineers, and innovators with a track record in developing widely used AI products and open-source projects. The team has contributed to tools like ChatGPT, Character.ai, Mistral, PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The company’s mission centers on advancing collaborative general intelligence to help people achieve more with AI tailored to their needs. Tinker, the company’s fine-tuning API, enables researchers and developers to adapt advanced AI models to their own data and algorithms. By handling the infrastructure, Tinker allows users to focus on customization, opening up capabilities that were once limited to a few specialized labs. As Tinker’s customer base and feature set grow, the team is focused on building a scalable platform and supporting an expanding community. Role overview The GTM Strategy & Operations Lead will build and refine the commercial structure for Tinker. This person will design strategies and processes that turn organic product adoption into a consistent, scalable revenue stream. The role involves shaping how Tinker’s fine-tuning capabilities are packaged, priced, launched, and sold across different customer segments. Collaboration with product, engineering, and research teams is central to the work. Tinker is designed for technically sophisticated users. The GTM lead must be comfortable discussing training infrastructure and understand how developers evaluate and adopt new tools. What you will do Develop and execute commercialization strategies for Tinker, including pricing, packaging, and launch plans based on market and competitor analysis. Create go-to-market approaches tailored to different types of customers. Manage partnerships to expand Tinker’s reach and open new channels for demand. Design and oversee customer pilots, onboarding, and expansion playbooks to move accounts from testing to production use. Produce commercial playbooks to help customer-facing engineers and FDEs position and sell Tinker effectively. Set and track success metrics for launches and GTM projects, running experiments to test assumptions about pricing and product packaging.

Apr 27, 2026
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Thinking Machines Lab logo
Full-time|$350K/yr - $475K/yr|On-site|San Francisco

Thinking Machines Lab brings together scientists, engineers, and innovators who have contributed to well-known AI products such as ChatGPT, Character.ai, and open-source frameworks like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. The team's mission centers on advancing collaborative general intelligence, aiming to make AI accessible for people to address their own needs and ambitions. The Tinker platform offers a fine-tuning API that lets researchers and developers tailor advanced AI models to their specific requirements. Tinker provides the infrastructure, while users maintain flexibility to train open-weight models with their own data and algorithms. As Tinker grows its features and user base, the team is expanding to support the platform's evolution. Role overview This Full Stack Software Engineer role focuses on designing, building, and maintaining the products and services that Tinker users rely on. The work covers frontend, backend, and infrastructure, with an emphasis on the Tinker console, developer tools, and meeting the changing needs of the Tinker community. What you will do Develop and improve Tinker’s APIs and backend services using Python and Rust, including systems for job submission, orchestration, billing, and usage tracking. Build user-facing interfaces such as the Tinker console and future developer tools with React and TypeScript. Enhance the developer experience by refining SDK usability, error messages, API design, and onboarding workflows. Increase system reliability, observability, and security in Tinker’s production environment, and participate in on-call rotations. Create internal tools to support the research and infrastructure teams working on Tinker. This position is based in San Francisco.

Apr 27, 2026
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Cartesia logo
Full-time|On-site|*HQ - San Francisco, CA

About CartesiaAt Cartesia, our vision is to revolutionize the landscape of artificial intelligence by creating interactive intelligence that is omnipresent and adaptable. We aim to overcome current limitations in processing vast streams of audio, video, and text data with our pioneering model architectures.Founded by PhD alumni from the Stanford AI Lab, we developed State Space Models (SSMs) as a breakthrough in training large-scale foundational models. Our dedicated team excels in model innovation, systems engineering, and product design, ensuring the delivery of advanced models and user experiences.Supported by top-tier investors such as Index Ventures and Lightspeed Venture Partners, alongside numerous industry experts and advisors, we are poised for significant growth and impact in the AI sector.About the RoleWe are seeking a dynamic HR Business Partner to lay the groundwork for our employee programs as Cartesia expands. This role provides an exceptional opportunity to influence the employee experience at a rapidly growing Series A AI startup. You will work closely with leadership to define and implement outstanding people operations practices.In this capacity, you will manage various aspects of human resources, including employee relations, organizational design, talent development, and learning initiatives. You'll have the freedom to create scalable systems and processes while fostering a culture that upholds Cartesia's core values.Your ImpactAct as a trusted advisor to leadership regarding organizational wellness, team dynamics, and strategic people initiatives.Provide confidential support to employees throughout their entire lifecycle, from onboarding to career development and offboarding.Collaborate with the recruiting team to ensure talent strategies align with long-term business objectives.Establish performance management systems and development programs that facilitate employee growth.Oversee compensation planning and strategy, including benchmarking, equity, and promotion cycles.Create and implement initiatives aimed at enhancing our internal company culture.

Jan 26, 2026
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Lever logo
Full-time|On-site|San Francisco, CA

At Lever, we foster a culture of curiosity, innovation, and the freedom to explore. While we take our work seriously, we embrace a light-hearted approach to our environment and our interactions. Our passion, meticulous attention to detail, and commitment to the well-being of our team members cultivate a vibrant and generous workplace. This bold perspective is what distinguishes us.Our Human Resources teams are dedicated to nurturing talent, both at our corporate headquarters and remote locations. We genuinely believe that our employees are our greatest asset. Every day, we strive to equip our team with the knowledge and tools necessary not only to perform their jobs effectively but also to feel inspired and empowered in their work.

Jul 24, 2019
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Sprinter Health logo
Full-time|On-site|San Francisco, CA

About Sprinter HealthAt Sprinter Health, we are dedicated to transforming healthcare access by enhancing the patient journey through innovative at-home services powered by cutting-edge technology.We are in search of a dynamic and proactive People Generalist who will play a crucial role in supporting our corporate team. This position promises immediate impact and offers unlimited potential for personal growth, influence, and professional development.We are constructing a comprehensive technology and clinical services framework to ensure that preventive and connected healthcare is accessible to everyone across the United States. Our hybrid care model (combining in-home and virtual services) leverages data products to reach over 60% of the US population across more than 15 states. With over 1 million patients served and a Net Promoter Score exceeding 92, we are rapidly expanding our impact. Our talented team of technologists, clinicians, and operational experts is supported by renowned investors such as a16z, General Catalyst, GV, and Accel, who have previously backed successful companies like Devoted Health, Livongo, and Airbnb.About the RoleWe are eager to welcome an experienced and resourceful People Generalist to aid in scaling and supporting our ever-growing corporate team. This high-impact position offers extensive involvement throughout the employee lifecycle, including onboarding, employee relations, offboarding, and more. You will act as a trusted advisor to leadership and collaborate closely with product, engineering, and operations teams to support essential initiatives that foster engagement, enhance performance, and drive business success. This is a pivotal role for someone who excels at the intersection of culture and strategy and is eager to enhance the employee experience across diverse cross-functional teams.What You'll DoBusiness Partnering: Serve as a strategic advisor to senior leaders across all corporate functions; guide managers on organizational design, team dynamics, performance management, and employee relations.Employee Experience: Take ownership of and continually enhance the employee lifecycle, from onboarding to offboarding, ensuring an inclusive and smooth experience.Performance & Development: Facilitate goal-setting cycles, performance evaluations, and career development initiatives; collaborate with leadership to cultivate high-performing and motivated teams.People Programs: Drive the implementation of various people programs that promote a positive workplace culture and enhance employee engagement.

Jan 9, 2026
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Hover logo
Full-time|$162K/yr - $200K/yr|On-site|san_francisco

At Hover, we empower individuals to design, enhance, and safeguard their cherished properties. Utilizing proprietary AI technology built on over a decade of real property data, we address fundamental questions such as “What will it look like?” and “What will it cost?” Our platform provides homeowners, contractors, and insurance professionals with precise, fully measured, and interactive 3D models of any property — all achievable through a smartphone scan in just minutes.Driven by curiosity, purpose, and a collective commitment to our customers, communities, and each other, we firmly believe that the most innovative ideas emerge from diverse perspectives. We take pride in fostering an inclusive, high-performance culture that promotes growth, accountability, and excellence. Supported by esteemed investors such as Google Ventures and Menlo Ventures, and trusted by industry leaders like Travelers, State Farm, and Nationwide, we are revolutionizing the way individuals comprehend and engage with their spaces.Why Hover Wants YouWe are looking for a Senior People Business Partner to act as a strategic advisor to leaders across Design, Operations, Product, and Engineering. This pivotal role is essential for evolving our people strategy in tandem with our business as we scale. You will work closely with senior leaders to shape organizational design, enhance leadership effectiveness, and integrate robust performance and change practices across teams — holding significant influence and a consistent seat at the decision-making table.Your ContributionsAs a strategic advisor to senior leaders across various departments, you will help navigate complexities, facilitate high-quality people decisions, and cultivate healthy, high-performing teams. Your role will involve diagnosing root causes, resolving ambiguous issues, and clarifying areas where expectations, roles, or workflows are not perfectly aligned. You will enhance leadership capabilities, improve decision-making processes, and anticipate the people implications of changes before they arise. This includes coaching managers, addressing performance challenges with precision, and guiding teams through transitional phases. Ultimately, your goal will be to assist leaders in creating sustainable systems rather than temporary fixes.In practice, your responsibilities will include:Collaborating with executives on organizational design, leadership effectiveness, and strategic people decisionsDiagnosing team and organizational challenges, and recommending actionable, systems-level solutionsCoaching leaders and managers through performance, development, and difficult conversationsLeading change management initiatives for organizational, strategy, and operating model transitionsEnhancing cross-functional alignment across Design, Operations, Product, and Engineering

Jan 23, 2026
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Thinking Machines Lab logo
Full-time|$350K/yr - $475K/yr|On-site|San Francisco

At Thinking Machines Lab, we are on a mission to empower humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone has access to the knowledge and tools necessary to harness AI for their unique needs and objectives.We are a diverse team of scientists, engineers, and builders responsible for developing some of the most influential AI products on the market, such as ChatGPT and Character.ai. Our contributions extend to open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking talented engineers to join our team and develop the libraries and tools that will accelerate research efforts at Thinking Machines. You will take charge of our internal infrastructure—creating evaluation libraries, reinforcement learning training libraries, and experiment tracking platforms—while building systems that enhance research velocity over time.This position emphasizes collaboration. You will work closely with researchers to identify bottlenecks and pain points, ensuring that they trust your systems to function seamlessly and find them enjoyable to use.What You'll DoDesign, build, and manage research infrastructure, including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities.Develop high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessment.Establish systems for reproducibility, traceability, and robust quality control across research experiments and model training runs, implementing effective monitoring and observability.Collaborate directly with researchers to identify bottlenecks and unlock new capabilities, managing research tools like a product manager by proactively seeking feedback and tracking adoption.Work alongside infrastructure, data, and product teams to integrate tools across the technical stack.

Feb 3, 2026
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HoneyBook logo
Full-time|Hybrid|San Francisco, CA

At HoneyBook, we are at the forefront of revolutionizing business management for service-based professionals through our innovative AI-driven platform. Our tools are meticulously designed to empower independent entrepreneurs, enabling them to attract new clients, efficiently manage projects, and streamline payment processes, all while focusing on their craft. Since our inception in 2013, we have facilitated over 25 million client interactions and handled transactions exceeding $12 billion, helping businesses thrive with agility and intelligence.Our workplace culture is deeply rooted in five core values—collaboration, feedback, ownership, growth mindset, and putting people first. We believe that experience can take many forms and welcome diverse backgrounds. If you excel in a dynamic, intellectually stimulating environment and possess relevant experience, we encourage you to apply.About the Position:We are seeking a strategic Senior HR Business Partner to support our teams in the U.S. and play a crucial role in shaping HoneyBook’s culture and executing our people strategies. You will report directly to the Director of HRBP based in Tel Aviv.Your role will involve partnering with senior leadership to implement impactful initiatives that empower teams, drive growth, and embody our core values. At HoneyBook, our commitment to People First is not merely an HR philosophy—it's a foundational principle that guides our leadership and growth. This is an exceptional opportunity to join a mission-driven organization where people and culture are central to our success.This role requires a hybrid work arrangement, with three days per week in our San Francisco office.Responsibilities:Strategic Partnership: Collaborate with senior leaders to align business objectives with effective people strategies that enhance team health and performance.Organizational Change Leadership: Guide teams through organizational design, change management, and cultural transformation, ensuring clarity and smooth transitions.Employee Relations Advisory: Serve as a trusted advisor for employee concerns, supporting managers in navigating complex personnel matters with empathy and professionalism.

Mar 12, 2026
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Thinking Machines Lab logo
Compensation Partner

Thinking Machines Lab

Full-time|$250K/yr - $425K/yr|On-site|San Francisco, California

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We are dedicated to creating a future where everyone has access to the knowledge and tools necessary to harness AI for their unique needs and aspirations.Our team consists of scientists, engineers, and builders who have contributed to some of the most popular AI products, including ChatGPT and Character.ai. We have developed influential open-weight models like Mistral and have been active in renowned open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are currently seeking a Compensation Partner to join our Operations team. In this pivotal role, you will take ownership of the entire compensation framework at Thinking Machines—from shaping our compensation philosophy and job architecture to collaborating on daily compensation and offer decisions.Your contributions will directly influence our capacity to attract and retain top-tier talent. We are on the lookout for a Compensation Partner who possesses a strong viewpoint alongside a robust process.What You’ll DoDesign and implement a comprehensive compensation framework and programs to attract and retain exceptional talent.Advise managers and leadership on compensation decisions regarding offers, promotions, and retention strategies.Develop our compensation strategy informed by market research, analytical insights, and your own expertise, acknowledging that traditional benchmarks may lag behind current market realities.Collaborate with finance and leadership to establish an equity compensation framework.Effectively communicate compensation structures to candidates and employees, fostering trust and transparency.Skills and QualificationsMinimum Qualifications:7+ years of compensation experience in a high-growth environment.Demonstrated success in building compensation programs from the ground up, preferably in an early-stage setting.Experience navigating a competitive and dynamic talent market without relying solely on benchmarks and established processes.Ability to articulate a clear and compelling compensation philosophy.Preferred Qualifications:Experience with AI labs, foundation model companies, or high-growth tech firms where compensation practices evolve more rapidly than standard survey cycles.Familiarity with the compensation landscape across various functions, including research (PhDs, postdocs, industry researchers), engineering, and non-technical roles, recognizing the differing expectations in each area.

Mar 24, 2026

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