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ai training - research scientist (pst)

ai training research scientist pst

Prolific

<div>
 
 AI Trainer &ndash; Research Scientists
 
 
 
 
 
 About Prolific
 
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 
 The role
 
 
 
 
 We&rsquo;re looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world&rsquo;s biggest AI labs. If you have the necessary experience, we&rsquo;ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a Domain Expert participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 
 
 
 
 What you&rsquo;ll be doing in the role
 
 
 
 
 Completing AI training tasks such as analyzing, editing, and writing research-focused content
 
 
 Judging the performance of AI on research design, methodology, and scientific reasoning prompts
 
 
 Improving cutting-edge AI models using your experience in research and experimentation
 
 
 
 
 What you&rsquo;ll bring
 
 
 
 
 Experience working as a Research Scientist or in a closely related research role
 
 
 A strong understanding of scientific methodology, experimental design, and data analysis
 
 
 A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
 
 
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 
 
 A reliable and fast internet connection and access to a computer
 
 
 A Paypal account to receive payment from our clients*
 
 
 
 
 Why Prolific is a great platform to join as a Domain Expert participant
 
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 <ul>
 <li>
 Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction.
 
 
 </li>
 </ul>
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
</div>

AI Training - Research Scientist (PST)

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (PST)

Tamarind Bio

<div>
 
 About Tamarind Bio
 
 
 
 We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
 
 
 New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
 
 
 
 💻About The Role
 
 
 
 We&rsquo;re hiring
 
 three
 
 exceptional
 
 Founding Software Engineers
 
 to help us scale the computational biology platform that powers our drug discovery pipeline.
 
 
 In this role, you&rsquo;ll collaborate closely with the founders to design, build, and scale our infrastructure, APIs, and web interface. You&rsquo;ll own major pieces of our stack end-to-end &mdash; from architecture to deployment &mdash; and ship features that directly impact scientists and customers.
 
 
 You&rsquo;ll be responsible for maintaining and expanding the core systems that underpin our computational biology tooling, ensuring reliability, scalability, and performance as we grow.
 
 
 This is a deeply collaborative and customer-facing role. You&rsquo;ll work directly with users to understand their needs, translate feedback into product improvements, and deliver elegant solutions that accelerate their research.
 
 
 
 Techstack:
 
 
 
 <ul>
 <li>
 Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs &amp; web apps.
 
 
 </li>
 </ul>
 
 Week in the Life:
 
 
 
 <ul>
 <li>
 Partner with founders on product decisions, scope experiments, and ship quickly
 </li>
 <li>
 Build/operate services (infra + ML + web) and iterate with customer feedback
 </li>
 <li>
 Mix of coding, design reviews, and practical deployment work
 </li>
 <li>
 Onsite expectation: Team currently onsite in SF ~5 days/week.
 
 
 </li>
 </ul>
 
 Ideal Qualifications:
 
 
 
 <ul>
 <li>
 Adaptability and openness to work on diverse problems (e.g. batch HPC scaling, frontend development, automated fine-tuning&hellip;)
 </li>
 <li>
 AWS DevOps (DynamoDB, EC2, S3, docker, etc.) and MLOps (CUDA, Conda, Tensorflow, PyTorch)
 </li>
 <li>
 Front-end development (React/Vercel)
 </li>
 <li>
 Willingness to learn about biology-ML models
 </li>
 <li>
 Located in the SF Bay Area or able to relocate to the Bay Area
 
 
 </li>
 </ul>
 
 Pluses:
 
 
 
 <ul>
 <li>
 Experience with AI/ML models across various architectures and environments
 
 
 </li>
 </ul>
 Technology
 
 
 Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We deal with problems ranging from scaling ML inference on AWS for hundreds of GPUs to dissecting pdb files with Biopython. We deploy a wide range of open source ML models for customers, navigating between Docker containers, Colab notebooks, bash scripts, slurm jobs, and more.
 
 
 🧩 Our Interview Process
 
 
 We keep our process focused, transparent, and designed to give both sides a clear sense of fit.
 
 
 <ul>
 <li>
 Recruiter Screen (15&ndash;30 minutes) &mdash; Virtual Meet with our recruiter to dive into your background, interests, and what you&rsquo;re looking for next. We&rsquo;ll also walk you through the company, team, and role.
 </li>
 <li>
 Technical Interview (90 minutes) &mdash; Virtual
 </li>
 <li>
 Co-Founder Interview (30 minutes): A conversation with Deniz Kavi (CEO &amp; Co-founder) about product, collaboration, and how you approach building in an early-stage environment.
 </li>
 <li>
 Technical Deep Dive (60 minutes): A live coding and problem-solving session with Sherry Liu (CTO &amp; Co-founder) or a member of our engineering team.
 </li>
 <li>
 Onsite (1 day) &mdash; San Francisco Spend a day with us working on a mini project and meeting the team.
 
 
 </li>
 </ul>
 Compensation Range: $150K - $250K
 
 
</div>

Software Engineer

Genentech

<div><div><div>THE POSITION</div>
Job Summary
The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Acting as a strategic thought partner, the role involves shaping impactful business priorities, collaborating cross-functionally, and delivering actionable insights. The position requires a strong execution mindset, commitment to data quality and governance, and the ability to communicate complex findings to different audiences&mdash;all while staying at the forefront of AI innovation and aligning with Genentech&rsquo;s standards and compliance.
Key Job Responsibilities<ul><li>
Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques (e.g., classification, regression, and forecasting) to generate value from structured and unstructured data for Commercial and Medical organizations.</li><li>
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.</li><li>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</li><li>
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. Collaborate within cross‑functional teams to develop efficient Machine Learning‑based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision‑making.</li><li>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</li><li>
Apply data science and other advanced analytical methodologies, using multiple data sources and tools.</li><li>
Collaborate with data science product owners/managers, data leads, ML Engineers, and MLOps team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.</li><li>
Communicate findings effectively to both technical and non-technical audiences.</li></ul> 
Who You Are<ul><li>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</li><li>
5 years of experience in data science or related roles.</li><li>
Proficiency in programming languages such as Python, R.</li><li>
Knowledge of SQL for database management.</li><li>
Strong expertise in Machine Learning and Deep Learning techniques</li><li>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</li><li>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</li></ul> 
Preferred Qualifications<ul><li>
Experience working with large and complex data sets in collaboration with business and analytics teams.</li><li>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Contributions to open source projects or publications in data science.</li><li>
Experience in healthcare, pharmaceutical, or highly regulated industries.</li><li>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</li><li>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</li><li>
Proficiency with industry-standard programming languages such as Python.</li><li>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</li><li>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</li><li>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</li><li>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</li></ul>
Location<ul><li>
This position is based in South San Francisco, CA at our Genentech Campus</li><li>
Relocation benefits are NOT available for this posting</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200/yr to $343,900/yr. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
 Benefits
#LI-CM4
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202604-108637</div></ul></div></div></div></div>

Senior Data Scientist

24-MAG

<div>
 We are sharing a specialised part-time consulting opportunity for experienced postsecondary education professionals with strong expertise in teaching, curriculum delivery, academic instruction, and related higher education work.
 
 
 This role supports a research project for one of the world's top AI companies and focuses on using real-world occupational expertise to design high-quality questions related to the day-to-day work of Education Teachers, Postsecondary.
 
 
 Selected professionals will apply their domain knowledge to help shape structured project content grounded in real professional practice, contributing occupation-specific expertise that supports advanced AI training and evaluation work.
 
 
 
 Key Responsibilities
 
 
 
 Professionals in this role may contribute to:
 
 
 
 Occupational Expertise &amp; Research Input
 
 
 
 Use professional experience as a postsecondary education teacher to support a research project for a leading AI company
 
 
 Contribute domain knowledge grounded in real-world full-time work experience
 
 
 Help ensure project outputs reflect authentic occupational practice and professional standards
 
 
 
 Question Design &amp; Content Development
 
 
 
 Design questions related to the occupation of Education Teachers, Postsecondary
 
 
 Translate day-to-day professional knowledge into structured, high-quality research content
 
 
 Contribute occupation-specific material that supports AI training and evaluation initiatives
 
 
 
 Project Participation &amp; Quality Contribution
 
 
 
 Engage consistently in a structured remote project environment
 
 
 Contribute professional judgment shaped by postsecondary teaching experience
 
 
 Support high-quality output through reliable participation and strong subject-matter expertise
 
 
 
 Ideal Profile
 
 
 
 Strong candidates may have:
 
 
 4+ years of full-time work experience as an Education Teacher, Postsecondary
 
 
 Strong professional background in higher education instruction, curriculum delivery, academic teaching, or related postsecondary education work
 
 
 Ability to contribute real-world occupational insight to structured research work
 
 
 Strong written communication and analytical thinking skills
 
 
 Reliable availability for ongoing project participation
 
 
 Current location in the
 
 US, UK, or Canada
 
 
 
 
 Preferred Qualifications
 
 
 
 Experience translating professional knowledge into structured content or research inputs
 
 
 Strong understanding of postsecondary teaching workflows, instructional responsibilities, and higher education practices
 
 
 Ability to contribute precise, profession-specific material in a consistent and high-quality way
 
 
 
 Why This Opportunity
 
 
 
 Contribute specialised postsecondary education expertise to a high-impact AI research project
 
 
 Help shape AI systems using authentic occupational knowledge from real professional practice
 
 
 Participate in a long-running remote project with meaningful domain contribution
 
 
 Flexible remote work with competitive compensation based on background and location
 
 
 
 Contract Details
 
 
 
 Independent contractor role
 
 
 Fully remote with flexible scheduling
 
 
 Hourly compensation listed at $60&ndash;$105 per hour for U.S.-based applicants
 
 
 Compensation will vary depending on professional background and geographic location
 
 
 Candidates must be based in the
 
 US, UK, or Canada
 
 
 
 Minimum commitment of 15 hours per week
 
 
 Project is currently estimated to last through mid-2026 and possibly longer, though timelines may change
 
 
 A desktop or laptop computer is required for this project
 
 
 Chromebook users cannot be accepted for this role
 
 
 Projects may be extended, shortened, or concluded early depending on project needs and performance
 
 
 Weekly payments via Stripe or Wise
 
 
 Work will not involve access to confidential or proprietary information from any employer, client, or institution
 
 
 Please note: We are unable to support H1-B or STEM OPT candidates at this time
 
 
 Start date: Immediate
 
 
 
 About The Platform
 
 
 
 This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.
 
 
 Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific professional knowledge.
 
 
 
 By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy
 
</div>

Remote | Education Teachers, Postsecondary — $60–$105/hour

Andiamo

<div>
 Generative AI Engineer - Pre-IPO Tech Company
 
 
 
 About The Role
 
 
 
 We are seeking a talented
 
 Generative AI Engineer
 
 to help design and build the next generation of AI-powered applications at a high-growth, pre-IPO technology company. You will work on applying large language models (LLMs), multimodal AI, and cutting-edge generative techniques to create products that transform how our customers interact with data, content, and decision-making systems.
 
 
 This is a hands-on engineering role at the intersection of AI research and scalable product development. You will collaborate with data scientists, ML engineers, and product managers to prototype, deploy, and optimize generative AI systems that deliver measurable customer and business impact.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop Generative Applications: Build production-ready systems leveraging LLMs and generative models for NLP, code, and multimodal use cases.
 </li>
 <li>
 Integrate with Products: Design APIs and services that embed generative AI capabilities into customer-facing applications.
 </li>
 <li>
 Optimize Models: Fine-tune, distill, and adapt foundation models to specific tasks and domains for efficiency and performance.
 </li>
 <li>
 Leverage Retrieval &amp; Memory: Implement retrieval-augmented generation (RAG), vector search, and embeddings for context-aware AI solutions.
 </li>
 <li>
 Ensure Reliability: Build monitoring and evaluation pipelines to track model quality, detect drift, and maintain trustworthiness in production.
 </li>
 <li>
 Collaborate Cross-Functionally: Work with researchers and product leaders to translate cutting-edge AI into practical features.
 </li>
 <li>
 Stay Ahead: Keep current with state-of-the-art generative AI research and frameworks, bringing new ideas and approaches into the company.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Professional Experience: 3-7 years in applied ML/AI engineering, with at least 1-2 years working on generative AI, LLMs, or related areas.
 </li>
 <li>
 Technical Skills: Proficiency in Python, strong experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex).
 </li>
 <li>
 LLM Experience: Hands-on experience fine-tuning or deploying large language models, and familiarity with APIs such as OpenAI, Anthropic, or similar.
 </li>
 <li>
 Infrastructure Knowledge: Experience with cloud ML platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) and vector databases (Pinecone, Weaviate, Milvus, FAISS).
 </li>
 <li>
 Systems Thinking: Ability to design scalable pipelines for training, inference, and integration into production systems.
 </li>
 <li>
 Collaboration: Strong communication skills and ability to partner across engineering, product, and research teams.
 </li>
 <li>
 Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, AI/ML, or a related field; PhD a plus.
 
 
 </li>
 </ul>
 Why Join
 
 
 This is a unique opportunity to shape the future of generative AI at a pre-IPO company with $500M+ in funding. As a Generative AI Engineer, you&rsquo;ll work with state-of-the-art models, solve complex problems at scale, and bring transformative AI capabilities directly to customers. You&rsquo;ll be part of a high-growth team where innovation is encouraged, impact is immediate, and the future of AI is being built.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

AI/Generative AI Engineer

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As a Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales &mdash; you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not.

This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close &mdash; and to deliver transformative AI solutions for their clients.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes</li>
<li>Build relationships across multiple levels of the partner organization &mdash; from practice leads and delivery teams to alliance executives &mdash; and serve as their primary point of contact at Anthropic</li>
<li>Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets</li>
<li>Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team</li>
<li>Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively</li>
<li>Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them</li>
<li>Gather signal from partner interactions &mdash; what's landing, what's missing, where clients are pushing back &mdash; and feed it into product and go-to-market planning</li>
<li>Contribute to the development of partner sales processes, playbooks, and best practices as the function scales</li>
</ul><h2 class="jobSectionHeader">You may be a good fit if you have:</h2>
<ul><li>7+ years of experience in partner sales, channel sales, alliances, business development or direct sales at a technology company where partners are heavily involved</li>
<li>A demonstrated track record of driving revenue through partners &mdash; you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction</li>
<li>Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead</li>
<li>Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them</li>
<li>Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives</li>
<li>A collaborative working style &mdash; you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned</li>
<li>Comfort with ambiguity and a willingness to create structure where it doesn't yet exist</li>
<li>Willingness to travel to support partner relationships and joint customer engagements</li>
<li>A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly</li>
</ul><h2 class="jobSectionHeader">Strong candidates may also have:</h2>
<ul><li>Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology</li>
<li>A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion</li>
<li>Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design</li>
<li>Experience managing partner relationships across multiple geographies</li>
<li>A history of being an early member of a partner sales function and helping it scale</li>
</ul></div><div><div><div><div>
The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div><div>
Annual Salary:</div><div>
$300,000 - $355,000 USD</div></div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
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Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process</div></div>

Partner Sales Manager, Systems IntegratorsNew

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