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Role: Security Architect / AI Security AppSec Architect

Location: Boston, MA - Hybrid 3 days per week

Duration: Long term Contract

JOB PURPOSE:

We are seeking a Security Architect / AI Security AppSec Architect to assist in the strategic evaluation and secure implementation of our AI Agent Framework. As AI adoption accelerates across our investment and research teams, this role will be pivotal in ensuring our systems remain secure, resilient, and compliant. You will combine high-level architectural oversight—specifically evaluating new and emerging AI technologies—with hands-on engineering.

Reporting to the Director of Security in Global Security organization, you will research security controls, validate emerging architectural patterns, and define the governance standards for M365 Copilot Agents and autonomous agents built on Azure AI Foundry.

Primary Responsibilities:

Technology Evaluation & Security Architecture

• Emerging Tech Research: Proactively evaluate new AI tools, frameworks, and LLM providers to assess their security posture and suitability for a highly regulated investment environment.
• Architectural Design: Design and validate secure architectural patterns for AI agent integration within the organization’s ecosystem, ensuring data privacy and IP protection.
• Threat Modeling: Conduct deep-dive analysis of AI-specific threats (prompt injection, model inversion, data poisoning) and architect systemic mitigations.
• Platform Assessment: Evaluate the security capabilities of Azure AI Foundry, M365 Copilot Studio, and the Microsoft Graph API against the organization’s compliance standards.
• MCP Specialization: Assess Model Context Protocol (MCP) security best practices, designing isolation strategies for context management.
• As a security architect, assist with evaluations of other technologies being evaluated with via our Enterprise Architecture Review Board

Technical Implementation & Validation

• Hardening & Standards: Create hardening checklists and configuration standards for AI platforms that bridge the gap between innovation and rigorous risk management.
• Identity & Integration: Test and document sophisticated integration approaches with Azure Key Vault, Entra ID, and Managed Identities.
• Security Telemetry: Implement advanced logging, auditing, and monitoring for AI agent telemetry to ensure visibility into autonomous actions.
• Governance & Standards Development
• Design Principles: Lead the creation of the organization’s AI Agent Security Design Principles document.
• Policy Authoring: Working with various teams assist in developing technical sections of governance policies that address the risks of emerging AI technologies and autonomous workflows.
• CI/CD Integration: Identify and bridge control gaps in existing CI/CD pipelines to support secure, automated AI deployments.
• Stakeholder Collaboration: Translate complex security architectures into actionable implementation guides for developers and investment tech teams.

Required Qualifications:

• Architectural & Technical Skills
• 5+ years in Cloud Security/Architecture with deep hands-on Azure platform experience.
• AI Specialization: Hands-on experience with Azure AI Services, Azure OpenAI, and Azure AI Foundry (or similar platforms like AWS SageMaker).
• Modern Identity: Expert-level understanding of Microsoft Entra ID, Service Principals, and Managed Identity in a complex enterprise environment.
• Emerging Protocols: Deep familiarity with Model Context Protocol (MCP) and its implications for data isolation and session security.
• GenAI/LLM Expertise: Strong grasp of RAG (Retrieval-Augmented Generation) patterns and vector database security.
• Security Implementation & Strategy
• Zero Trust: Proven track record of implementing Zero Trust controls in financial services or cloud-native environments.
• Automation: Experience with Infrastructure as Code (Terraform, Bicep) to codify security guardrails.
• Threat Assessment: Familiarity with the OWASP Top 10 for LLMs and AI-specific vulnerability scanning.

Preferred Qualifications:

• Certifications: Azure Security Engineer Associate, Azure AI Engineer Associate, or CISSP/CCSP.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Team:

This role is within the Engineering, Product, and Design (EPD) Compliance Technical Program Management team which delivers critical & strategic technical compliance outcomes by directing and scaling engineering effort across organizational and functional boundaries. The programs they lead have most or all of these characteristics:

• 
  
• Strategic importance to Pinterest
  
• Distributed ownership
  
• Complexity
  
• Critical technical area or platform
  

We are seeking a dedicated, centralized Senior Technical Program Manager to establish and own our AI Compliance program, with a primary focus on GenAI risk mitigation. This specialized, high-impact role will bridge technical innovation, business strategy, and global regulatory requirements, ensuring our GenAI initiatives are both cutting-edge and compliant.

What you'll do:

• 
  
• Strategy and Program Ownership: Establish, own, and continually iterate on the holistic AI Governance and Risk Management Framework for the company, integrating it across all relevant engineering and product teams.
  
• Regulatory Compliance Roadmapping: Partner closely with Legal to translate emerging global AI regulations into concrete engineering requirements, compliance plans, and a unified roadmap.
  
• Risk Mitigation Systems: Establish and improve risk management systems, including developing internal policies for responsible AI practices, defining AI safety principles, establishing metrics that ensure effective compliance, and improving Pinterest's ability to mitigate risks of AI development through internal platforms and infrastructure.
  
• Cross-Functional Partnership: Act as the central compliance TPM lead, facilitating and driving consensus across Legal, Security, Privacy, Data Engineering, and Product teams to mitigate distributed AI risks.
  
• Operational Excellence: Incorporate AI compliance program status into leadership risk management reporting and establish tracking and review processes for GenAI features and open-source (OSS) model usage.
  

What we're looking for:

• 
  
• Experience working with AI model and feature development.
  
• 8+ years of experience as a technical program manager supporting Compliance or Trust & Safety Programs, or related experience.
  
• Entrepreneurial spirit with strong leadership, who can develop and lead a new initiative from the ground up and thrive in ambiguity.
  
• Passion for execution and getting things done.
  
• Solid technical background and ability to quickly understand technical designs, challenges and risks. Experience breaking down complex problems and driving decision making.
  
• Strong analytical abilities, able to create & monitor metrics, proactively identify growth opportunities & incidents.
  
• Strong written, verbal communication skills and comfort in communicating nuanced, and often technical, concepts to internal stakeholders or external partners.
  
• Ability to influence teams & drive alignment among multiple stakeholders.
  
• Demonstrated experience in creating and driving efficient processes at scale.
  
• Bachelor's degree in a relevant field such as computer science, computer and information technology, or equivalent experience.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1 time every 6-months and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-JD3

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're looking for an experienced and thoughtful Lead Ads Policy Manager to join our Content Product policy team. Our policy team keeps Pinterest a safe, positive and welcoming environment for our 450+ million global users by developing industry-leading content policies. You'll develop policies on generative AI, advise on new product risk, autonomously lead complex projects, and set the strategy for the AI policy function. You'll ensure our product policies are enforceable at scale and build a strong relationship with product teams. You'll seek out feedback from internal stakeholders and external experts and collaborate with our Product, Engineering, Legal, Public Policy, and Communications teams. This role will sometimes involve reviewing graphic and disturbing content and discussing difficult subjects.

What you'll do:

• 
  
• Collaborate with your Policy teammates, cross-functional partners, executives and outside experts to craft industry-leading generative AI policies to protect Pinners and keep Pinterest safe and inspiring.
  
• Partner with Trust & Safety, Product, and Engineering teams to embed AI safety best practices in product launches and scale AI policy enforcement globally.
  
• Anticipate opportunities and advise on risks of new generative AI policies to help keep Pinterest ahead of the next challenge
  
• Drive regulatory and compliance efforts for content policy matters
  
• Partner with the leadership team to set strategy for product policies, including how to prioritize among competing demands for our time and expertise, and mentor others
  
• Continuously evaluate and iterate on our policy approaches
  
• Evaluate high-profile escalations
  
• Facilitate and productively engage in complex policy discussions, including respectfully challenging team members and xfn partners, using contrarian techniques to strengthen policy analysis, and incorporating new and diverse viewpoints
  

What we're looking for:

• 
  
• Bachelor's degree in a relevant field such as public policy, research or equivalent experience.
  
• Substantial experience with AI policy, generative AI systems, trust and safety operations, or policy development for AI-driven products, including drafting guidance for a global audience and managing escalations.
  
• Strong understanding of global online safety trends, generative AI and LLMs ; can identify and mitigate policy risk areas
  
• Experience developing and scaling AI policy and enforcement at a global level.
  
• An autonomous leader with strong writing skills and great verbal communication
  
• A skilled relationship builder who maintains collaborative partnerships within your team, across the company, and with outside audiences. Demonstrated experience working with cross-functional teams including Operations, Product, Legal, Public Policy and Comms
  
• Excellent project management skills and ability to work on multiple projects
  
• Excellent judgment and critical thinking skills: you can assess numerous inputs, weigh tradeoffs, manage ambiguity, and make difficult decisions
  
• A thoughtful leader with a demonstrated experience leading complex projects and mentoring others
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  
• This role will need to be in the office for in-person collaboration 1-2 times a quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-ARMM78

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Apply here: (s) Ruru Hoong, Anya Shchetkina, and Jimin Nam (MIT Sloan) are seeking motivated and detail-oriented individuals to work as full-time pre-doctoral researchers. The position involves close collaboration with 1-2 faculty members (depending on research interests) on empirical research projects related to digital technologies, advertising, and AI. You will contribute at all stages of the research process — from data collection and cleaning to analysis and writing. Some structural modelling or applied ML methods development may be involved if of interest.

Active and planned research projects include: 

• The design of information for human-AI collaboration
• The impact of generative AI on worker productivity, task allocation, and organizational design
• The design of AI-driven hiring tools, such as optimizing voice-AI interviews for candidate screening
• Youth, social media, and smartphones
• The effects of AI on education and learning, including adaptive AI tutoring and path dependence in AI product rollout
• AI and wellbeing, including how generative AI tools affect individual and worker wellbeing
• Household and business surveys on electricity in Ghana
• Mechanization and preferences - marketing in 19th Century tea
• Measuring advertising effectiveness with aggregate data
• Experimental design under privacy constraints
• Identifying limits of targeting and personalization effectiveness 

Methods used across these projects include randomized controlled trials, experiments, machine learning, natural language processing, large language models, probabilistic ML, and adaptive learning (bandits and Bayesian optimization).

A core goal of the position is to prepare you to apply to and succeed in PhD programs in marketing, economics, management, operations or related fields. We will work together to develop your research skills — beginning with careful research workflow and attention to detail, and progressing toward more independent analysis over time. We will also collaborate on other elements of your preparation, including independent research, letters of recommendation, and coursework planning. You will be encouraged to attend seminars and engage with the broader research community at MIT Sloan and across MIT.

You do not need to arrive with a polished skill set; the purpose of a predoc is to also help you develop that training. What matters most is a genuine interest in these research questions, a willingness to learn, and the determination to see difficult problems through. 

Principal responsibilities

• Collect, clean, and manage large-scale quantitative and qualitative datasets across active research projects related to marketing, digital economics, and AI
• Conduct empirical analysis using methods such as causal inference, machine learning, NLP, and experimental design
• Contribute to all stages of the research process — from literature review and data collection through analysis and writing
• Design and implement surveys and experiments using tools such as Qualtrics and oTree
• Write, review, and maintain reproducible research code in Python, R, or Stata, including responsible use of AI coding tools
• Other duties as needed

Qualifications

• A Bachelor's degree with strong grades, ideally in a quantitative field
• Comfort with or eagerness to learn programming (Python, R, or Stata) and experimental tools (Qualtrics, oTree)
• Willingness to experiment with AI coding tools (e.g., Claude, Cursor, Copilot) while maintaining a healthy skepticism — you should be prepared to understand and review every line of code these tools generate
• A long-term interest in pursuing a PhD in marketing, economics, management, operations, or a related field.
• A familiarity with causal inference or Bayesian statistics is welcome but not required
• Prior research experience is a plus but not a prerequisite
• Careful attention to detail — the kind of person who double-checks a merge and notices when a number doesn't look right
• Curiosity, initiative, and the persistence to work through open-ended problems
• The ability to work independently
• Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. 

The position is located at the MIT Sloan School of Management in Cambridge, Massachusetts. The default start date is July 1, 2026, with some flexibility to begin earlier or later. The position typically lasts 1-2 years prior to entering a PhD program. Salary is competitive with other pre-doctoral research positions (50-63k). Applications will be reviewed on a rolling basis.

Application Instructions

If you are interested, please submit the following:

• A one-page cover letter describing your background, research interests, coding experience, and future goals. Please indicate which of the research areas listed above interest you most and why.
• A CV
• A transcript
• A writing sample — a research paper, term paper, or thesis that reflects your analytical abilities
• (optional) A code sample you have written, with a brief summary of what it does and the outputs it produces
• The names and contact information of two references
• Applications will be reviewed on a rolling basis starting early March until the position(s) are filled.

** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in position descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.

Position Overview

The Technical AI Project Manager plays a critical role in driving the successful delivery of Artificial Intelligence (AI) projects. This position bridges the gap between technical AI development teams and business stakeholders, ensuring that AI solutions are delivered on time, within scope, and aligned with organizational objectives. The ideal candidate combines strong project management skills with technical knowledge of AI methodologies, tools, and best practices.

Key Responsibilities

Lead end-to-end planning, execution, and delivery of AI and machine learning projects, ensuring alignment with business goals and technical feasibility.

Collaborate with cross-functional teams including data scientists, software engineers, product managers, and business analysts to define project scope, objectives, and deliverables.

Develop detailed project plans, manage schedules, allocate resources, and monitor progress to ensure timely delivery of project milestones.

Identify potential risks, develop mitigation strategies, and proactively resolve issues that may impact project timelines or quality.

Translate complex technical requirements and AI concepts into clear, actionable tasks for both technical and non-technical audiences.

Oversee the implementation of AI models, data pipelines, and system integrations, ensuring adherence to best practices in software development and AI ethics.

Manage project budgets, track expenditures, and report on project status to stakeholders and senior management.

Ensure compliance with data security, privacy regulations, and organizational policies throughout the AI project lifecycle.

Drive continuous improvement by capturing lessons learned and sharing best practices across the organization.

Qualifications

Bachelor’s or Master’s degree in a related field

3+ years of experience managing technical projects, preferably in AI, machine learning, or data analytics domains.

Strong understanding of AI/ML concepts, and software development life cycle.

Proven ability to manage multiple projects simultaneously in a fast-paced, agile environment.

Excellent organizational, communication, and leadership skills.

Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and MLOps tools is a plus.

Project Management Professional (PMP), Agile, or Scrum certification is desirable.

Key Competencies

Technical acumen in translating requirements for the AI team

The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.

At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.

Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.

Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.

HumanSignal is seeking a Quality Control Lead to ensure world-class data quality across our Label Studio platform and Data Creation Laboratory operations. In this role, you will be the ultimate authority on the integrity and usefulness of the data we manufacture and deliver to customers. You will drive accountability across our highest-impact projectstackling complex quality challenges head-on while leading strategic initiatives that enable reliable, scalable delivery as we grow.

Our Data Creation Laboratories don't just label existing datawe manufacture purpose-built datasets from scratch in controlled environments. This means quality control takes on new dimensions: you're not just checking annotations, you're ensuring that the human-generated data we create meets the exacting standards required by frontier AI labs and enterprises pushing the boundaries of what's possible.

You Will:

• Build and lead a high-performing team of quality control specialists who set the standard for data excellence
• Collaborate with delivery teams and laboratory operations to interpret, refine, and exceed customer requirements
• Manage day-to-day operations including workload planning, resource allocation, and performance reporting
• Design and implement scalable quality frameworks and best practices that grow with the organization
• Champion initiatives that drive improvements in quality, operational efficiency, and customer satisfaction
• Serve as the ultimate standard-bearer for data quality, ensuring HumanSignal is recognized as the most trusted source of training data in AI

Ideally You'd Have:

• Bachelor's degree in Computer Science, Engineering, Operations, or a related discipline
• 4+ years of experience leading teams or scaling complex operational or technical processes
• Strong analytical capabilities and problem-solving skills, with proficiency in SQL and meticulous attention to detail
• Demonstrated experience building systems, processes, and teams across diverse customer segments or product offerings
• Hands-on background in operations management, product management, or management consulting at a top-tier firm
• Track record of taking initiative and driving results in cross-functional technical environments

Nice to Haves:

• Master's degree in Computer Science, Engineering, Operations, or a related field
• Experience in AI/ML data operations or services
• Background working in high-growth, dynamic startup environments
• Experience building and scaling teams from the ground up

About HumanSignal

At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.

We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.

We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.

We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $90,000 to $140,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.