Handshake
Enterprise · Student career platform + new AI training data line
- HQ
- San Francisco, US
- Founded
- 2014
- Website
- joinhandshake.com
Handshake currently has 68 active AI-related job listings. The majority of these roles, 60%, are focused on data, with a further 15% in agents. Research and Engineering are the most frequent functions hiring for these positions. Recent hiring activity shows a significant increase, with 23 new AI roles posted in the last 30 days, representing a 92% rise compared to the preceding 30-day period.
Enterprise · Student career platform + new AI training data line
Currently tracking 23 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Handshake currently has 65 active AI-related roles in our index. The most common open titles are: Music Producer - AI Trainer (2), Strategic Projects Lead, Coding (2), 3D Slicer Specialist - AI Trainer , AI Red Teamer, LLM Generalist, Analog Engineer - AI Trainer. Most positions are in Engineering and Research.
Handshake's active AI hiring is concentrated in: data (66%), agents (15%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Handshake is hiring AI talent in: United States (22 roles), India (4 roles).
Job postings at Handshake most frequently reference: evals, synthetic data, model serving, agent orchestration, llm observability.
In the past 30 days, Handshake has posted 10 new AI-related roles. That is a -57% change versus the prior 30 days (23 → 10).
| Title | Stage | AI score |
|---|---|---|
| AI Red Teamer, CBRNE This role focuses on evaluating AI models for safety and security, specifically concerning CBRNE threats. The Red Teamer will design adversarial prompts, assess model outputs for dangerous knowledge gaps, and document findings to help labs improve model defenses before they reach the real world. This requires deep domain expertise in CBRNE fields, strong ethical judgment, and the ability to think like a threat actor within a structured evaluation framework. | Eval Gate | 9 |
| AI Red Teamer, LLM Generalist The AI Red Teamer, LLM Generalist role focuses on stress-testing large language models by designing creative, adversarial prompts to expose vulnerabilities in AI safety, guardrails, and robustness. This involves probing models across various risk categories (content safety, CBRN, cybersecurity, etc.) and potentially across different modalities (text, image, voice, agentic). The role requires strong prompt crafting skills, ethical judgment, and collaboration with engineers and researchers to share findings and strengthen defenses. It is a generalist role that may involve working with sensitive content. |
| Eval GateAgent |
| 9 |
| Senior Forward Deployed Engineer, Handshake AI Enterprise Senior Forward Deployed Engineer to embed within enterprise customer environments, define AI-driven solutions, build and deploy production-grade AI agents, and design/run evals to measure performance. The role requires full-stack ownership, deep understanding of customer business, and iteration until performance improves. Emphasis on real-world AI application shipping and systematic improvement of AI performance. | AgentEval Gate | 9 |
| AI PhD Student Researcher - Fall 2026 Handshake AI is seeking a PhD Student Researcher to work on novel RLHF/GRPO pipelines, instruction-following refinements, reasoning-trace supervision, multilingual/long-horizon/domain-specific benchmarks, automatic vs. human preference studies, robustness diagnostics, active-learning loops, data value estimation, synthetic data generation, and low-resource fine-tuning strategies. The goal is to produce an archive-ready manuscript or top-tier conference submission. | Post-trainEval Gate | 9 |
| AI Red Teamer, Cybersecurity This role focuses on evaluating AI models, specifically LLMs, for cybersecurity vulnerabilities. The AI Red Teamer will craft adversarial prompts and multi-turn interactions to test if models can be manipulated into generating functional malware, exploit code, or attack tooling. The core responsibility is to assess the output's real-world exploitability and contribute to improving model safety guardrails. This involves deep cybersecurity expertise and understanding attacker methodologies. | Eval GateAgent | 8 |
| Senior Product Manager, RL Environments — Handshake AI Senior Product Manager to own the product surface that turns RL environment creation from a bespoke, weeks-long lift into a repeatable factory. This role will design and ship the platform that compresses lead time, replaces hand-built workflows with self-serve tooling, and lets a small team of operators turn out high-quality environments for any vertical. | DataEval Gate | 8 |
| Applied AI Engineer, Handshake AI Enterprise Applied AI Engineer role focused on building and deploying production-grade AI agents within enterprise customer environments. The role involves understanding customer business needs, developing agents, running evaluations, and iterating on performance to drive measurable business impact. Requires backend engineering depth and experience with AI/ML systems in production. | Agent | 8 |
| Senior Applied AI Engineer, Handshake AI Enterprise Senior Applied AI Engineer role focused on embedding within enterprise customer environments to build and deploy production-grade AI agents. The role involves defining AI-driven solutions, owning end-to-end delivery, designing and running evaluations, and iterating on performance. It requires strong applied AI and backend experience, with a focus on real-world application and systems thinking. | Agent | 8 |
| Forward Deployed Engineer, Handshake AI Enterprise Forward Deployed Engineer to embed within enterprise customer environments, define AI-driven solutions, build and deploy production-grade AI agents, and design evals to measure and improve performance. The role requires full-stack capabilities with strong backend depth and real-world experience shipping AI applications. | AgentEval Gate | 8 |
| Software Engineer, Agentic Infrastructure Software Engineer focused on building the core agent orchestration layer, including tool use, memory, and multi-step reasoning systems, to power AI-driven features for millions of users. The role also involves designing evaluation, observability, and reliability frameworks for agent behavior and establishing engineering standards for agentic development. | Agent | 8 |
| Senior Software Engineer, Agentic Infrastructure Senior Software Engineer to architect and build the foundational systems for AI agents, including tool use, memory, and multi-step reasoning. The role involves designing evaluation and observability frameworks, establishing engineering standards for agentic development, and partnering with ML/product teams to ship agent-powered features. | Agent | 8 |
| Technical Lead Manager, Handshake AI Technical Lead Manager for Handshake AI, focusing on building and shipping production AI solutions. This player-coach role requires hands-on coding, system architecture, and team leadership, working with frontier AI labs on data, evals, and AI systems. | Ship | 8 |
| Senior Engineering Manager, Reinforcement Learning Environments (RLE) Senior Engineering Manager to lead the Reinforcement Learning Environments (RLE) team, responsible for building interactive sandboxes that simulate end-to-end workflows for frontier models. The team generates high-signal interaction data used for training and evaluating models on task completion, quality, and robustness. The role involves leading a team of engineers, owning the RLE roadmap, driving architecture for scalable systems, and ensuring reliability and data quality. | Post-trainEval Gate | 8 |
| Data Development, Principal This Principal Data Development role focuses on sourcing, negotiating, and closing data partnerships with companies and institutions to supply proprietary real-world data to frontier AI labs for training next-generation AI models. The role involves translating data requirements between AI labs and enterprise leaders, structuring commercial and compensation models, and managing senior stakeholder relationships. | Data | 7 |
| Senior Manager, Forward Deployed Engineering Senior Manager, Forward Deployed Engineering at Handshake AI. This role involves technical leadership and people management for a team of 10+ engineers focused on customer-facing AI solutions. The manager will contribute to technical strategy, architecture, and code, while also developing the team and defining the FDE operating model. The role requires strong technical credibility, customer engagement skills, and experience in building reusable platforms. | Agent | 7 |
| Senior Forward Deployed Engineer Senior Forward Deployed Engineer at Handshake AI, focusing on technical leadership for AI lab deployments. This role involves understanding customer needs, architecting and building solutions, and scaling them for production, operating across the stack in ambiguous environments. Experience with LLMs and customer-facing roles is highly valued. | Agent | 7 |
| Strategic Projects Lead, Coding This role involves leading coding data initiatives for AI and platform teams, coordinating SWE Fellows, designing and owning technical evaluation and annotation workflows, and ensuring delivery, margins, quality, and customer relationships. Responsibilities include writing and validating coding assessments, building rubric-driven code review processes, instrumenting quality signals, and adapting workflows. The role requires strong technical and analytical skills, coding proficiency, and stakeholder management. | Data | 7 |
| Technical Lead Manager, Forward Deployed Engineering Technical Lead Manager, Forward Deployed Engineering at Handshake AI. This player-coach role involves shipping end-to-end AI solutions for strategic partners, designing and building integrations, tooling, APIs, and workflows, and managing a small team of FDEs. The focus is on building production-ready systems and scaling team output through reusable components, while staying hands-on with coding. | Agent | 7 |
| Machine Learning Engineer, PhD Intern Machine Learning Engineer Intern at Handshake AI, focusing on building intelligent product experiences for job seekers. The role involves developing, evaluating, and deploying ML models for search, recommendations, and matching systems in a production environment. Requires a PhD candidate with Python, PyTorch/TensorFlow, and ML operations experience. | AgentEval Gate | 7 |
| Software Engineer II, RLE Software Engineer to build and scale Reinforcement Learning Environments (RLE) platform, which are interactive systems for frontier AI models to learn real-world tasks. The role involves owning components end-to-end, designing backend systems and data pipelines, and improving system reliability and performance, supporting model training and evaluation. | DataEval Gate | 7 |
| Software Engineer I , Coding Pod Software Engineer on the Coding Pod will build data infrastructure and pipelines for frontier AI coding models, focusing on creating large-scale, high-quality benchmark datasets for evaluating model performance on coding tasks. This role involves owning end-to-end data pipelines, integrating with developer ecosystems, and working with evaluation systems and agentic coding tools. | DataEval Gate | 7 |
| Associate Software Engineer, RLE Associate Software Engineer to build Reinforcement Learning Environments (RLE) platform, including supporting infrastructure, backend systems, frontend interfaces, and data pipelines for model training and evaluation. The role involves creating modular workflow domains and working with senior engineers to improve system reliability and performance. | DataPost-train | 7 |
| Software Engineer I, RLE Software Engineer to build and scale the Reinforcement Learning Environments (RLE) platform, which involves designing and implementing backend systems, data pipelines, and modular workflow domains to support frontier AI model training and evaluation. The role requires experience in backend/distributed systems, ML-adjacent infrastructure, and cloud technologies. | DataEval Gate | 7 |
| Senior Software Engineer, FDE Senior Forward Deployed Engineer to serve as a technical leader at the intersection of engineering and strategic customers (leading AI labs). Owns end-to-end lifecycle of high-impact deployments, architecting, building, and scaling solutions to improve customer workflows and model performance. Operates across the stack in ambiguous, fast-changing environments. | Agent | 7 |
| Machine Learning Engineer I This Machine Learning Engineer role focuses on developing and deploying ML models that directly impact user experience and business metrics for a consumer platform. The role involves end-to-end ownership of the ML lifecycle, working with cutting-edge infrastructure like embedding-based retrieval and multi-stage rankers, and contributing to responsible AI practices. | Ship | 7 |
| Senior Engineering Manager, Forward Deployed Engineering Senior Engineering Manager to lead and scale a team of Forward Deployed Engineers (FDEs) focused on customer-facing AI solutions for strategic partners. The role involves building the organizational structure, managing technical execution, and ensuring reliability and maintainability of AI products. | Ship | 7 |
| Associate Machine Learning Engineer Associate Machine Learning Engineer for the Growth Relevance team, focusing on developing, deploying, and enhancing ML systems for lifecycle optimization, personalized notifications, and monetization strategies. The role involves working with embedding-based retrieval, GNNs, and multi-stage rankers, and contributing to responsible AI practices. | AgentServe | 7 |
| Staff Forward Deployed Engineer Staff Forward Deployed Engineer role at Handshake AI, focusing on defining and driving technical strategy for engineered solutions to strategic customers, including leading AI labs. The role involves architecting and delivering production-grade systems, setting technical direction, and influencing product and platform architecture. It requires deep customer engagement and scaling forward-deployed engineering as a function, with a strong emphasis on customer-facing AI products. | Ship | 7 |
| Software Engineer, Consumer Experience Software Engineer role focused on building core consumer experiences, including agentic AI features for students using OpenAI APIs and agentic frameworks. The company also has a separate AI data business focused on frontier AI labs. | Agent | 7 |
| Manager, Strategic Projects Manager, Strategic Projects leading a team focused on AI data and evaluation work. Responsibilities include managing SPLs, driving project delivery (data pipelines, labeling workflows), translating needs into plans, owning performance metrics, ensuring a good experience for fellows, and partnering with Product/Engineering on tooling. Success involves consistent delivery, improved operational metrics, and strong team leadership. Requires 5+ years in operations, 2+ years managing teams, and experience with complex projects, ideally in AI data operations or ML ops. | DataEval Gate | 7 |
| Data Partnership Specialist Handshake AI is building a data business to supply proprietary, real-world data to frontier AI labs. This role is for a Data Partnership Specialist responsible for identifying, pitching, negotiating, and closing data partnerships with companies and institutions. The specialist will translate between AI lab data requirements and enterprise data availability, managing complex deals end-to-end and ensuring compliance with data licensing, privacy, and anonymization terms. The role requires strong business development, negotiation, and stakeholder management skills, with a focus on measurable impact and high standards. | — | 5 |
| Senior Learning Design Lead This role focuses on designing and delivering training materials for AI data projects, ensuring quality and efficiency in data annotation processes. The Senior Learning Design Lead will embed with operations teams, create playbooks and courses, and drive quality initiatives across cross-functional partners. A key aspect is translating complex technical concepts into effective learning experiences for AI data operations. | Data | 5 |
| Learning Architect, Quality Systems This role focuses on designing and deploying training materials for AI data projects, ensuring quality and consistency across teams. It involves embedding with operations, creating playbooks and courses, facilitating knowledge transfer, conducting design reviews, and enabling operators. The goal is to improve the quality of data annotation and AI-generated content. | — | 5 |
| Software Engineer I, Annotations Software Engineer I, Annotations at Handshake AI, focusing on building backend systems for project configuration, workflow management, and data generation pipelines to support AI data business operations. | Data | 5 |
| Senior Manager, Field & Event Marketing This role is for a Senior Manager of Field and Event Marketing at Handshake, focusing on both their Careers business and their Handshake AI business. The role involves end-to-end strategy and execution of marketing events to build pipeline and deepen customer relationships. The candidate should be comfortable with strategy and execution, thrive in fast-moving environments, and actively use AI tools to work smarter. | — | 5 |
| Strategic Projects Lead This role is for a Strategic Projects Lead at Handshake AI, focusing on executing large-scale human data programs that power frontier AI model training and evaluation. The role involves managing large teams, designing operational workflows, and partnering with AI labs and technology companies to ensure program success, revenue, margins, and quality. While the company is heavily involved in AI, this specific role is operational and project management focused, not directly building AI models or systems. | — | 5 |
| Software Engineer, Handshake AI Enterprise Software Engineer on the Handshake AI Enterprise team, responsible for the product experience layer of AI applications deployed directly into enterprise customer environments. This role involves working closely with customers to understand their workflows, contributing to product decisions, and building end-to-end solutions. The engineer will build high-quality, full-stack features, collaborate with Applied AI and Platform engineers, and iterate based on customer feedback. The role requires 2-5 years of product engineering experience with full-stack capabilities and a focus on product quality. | Ship | 5 |
| Software Engineer II, Fellow Development Software Engineer II on the Fellow Development team at Handshake AI. This role focuses on building the learning, feedback, and community systems that support AI trainers in their work. The engineer will own features end-to-end, from technical design to launch, and collaborate with product, design, and operations teams. The role involves building full-stack systems to facilitate how fellows learn, receive feedback, and improve their AI model training and evaluation processes. The company is experiencing rapid growth in the AI data business, supporting frontier AI labs. | Data | 5 |
| Mid-Market Account Executive I This role is for a Mid-Market Account Executive at Handshake, focusing on selling their early talent recruiting platform to employers. While Handshake has an AI division, this specific role is in sales and involves managing the full sales cycle from prospecting to closing, exceeding quotas, and developing client relationships. The company emphasizes its AI data business and partnerships with AI labs, but the core function of this role is sales, not AI development or research. | — | 5 |
| Staff Product Designer, Employer Experience The Staff Product Designer on the Employer team will be responsible for designing experiences that help employers discover, connect with, and hire early-career talent more effectively. This role is revenue-critical and focuses on shaping how employers attract candidates, evaluate fit, and make hiring decisions, shipping experiences that fuel revenue while expanding access and opportunity for students. | — | 5 |
| Staff Product Designer, Handshake AI This role is for a Staff Product Designer at Handshake AI, focusing on building the vision for operator independence and self-serve tooling within their AI data business. The role involves partnering with various teams to define product strategies, translate insights into investments, and own the design process from concept to production. While the company is heavily involved in the AI space, this specific role is product-focused and does not involve direct AI/ML model development. | — | 5 |
| Senior Product Designer II, Handshake AI Senior Product Designer II for Handshake AI, focusing on leading design initiatives for a rapidly growing AI data business that partners with frontier AI labs. The role involves end-to-end product strategy and design, data-informed decision-making, and mentoring junior designers. Experience with LLM or AI-powered products is a plus. | — | 5 |
| Entrepreneur, CEO Office This role is for an Entrepreneur to join the CEO Office at Handshake, focusing on building 0-to-1 initiatives across product, GTM, and operations. The candidate will partner directly with founders and the executive team to tackle the hardest problems at Handshake, drive initiatives forward, and contribute to the company's success. Experience as a past founder or early startup employee is preferred. | — | 5 |
| Product Manager, Pay and Safety — Handshake AI Product Manager for Handshake AI's Pay and Safety squad, focusing on improving payment accuracy, timeliness, and fraud detection within the AI training marketplace. The role involves owning the roadmap for payment platforms, building a proactive fraud detection system, and developing operator tooling. | — | 5 |
| Senior Software Engineer - Pay & Safety This role is for a Senior Software Engineer on the Pay squad at Handshake AI, focusing on building and owning systems for calculating earnings, generating payouts, and managing disbursements for Handshake AI's global workforce. The role also involves developing a Trust & Safety surface area, including KYC, identity verification, fraud screening, and audit systems. The engineer will be responsible for ensuring the reliability, auditability, and resilience of these critical financial and safety systems, working with microservices and third-party integrations. | — | 5 |
| Senior Platform Engineer, Handshake AI Enterprise Senior Platform Engineer responsible for the infrastructure and deployment of AI applications into enterprise customer environments, including VPC, on-prem, and self-hosted configurations. This role involves working with customer IT and security teams to manage compliance and access, and building automation for repeatable deployments. | Ship | 5 |
| Senior Software Engineer, Handshake AI Enterprise Senior Software Engineer on the Handshake AI Enterprise team responsible for the product experience layer of AI applications deployed directly into enterprise customer environments. This role involves working closely with customers to understand their workflows, translate needs into product decisions, and build delightful interfaces. The engineer will collaborate with Applied AI and Platform engineers, iterate based on feedback, and establish product engineering standards. | Ship | 5 |
| Mid-Market Account Executive II This role is for a Mid-Market Account Executive at Handshake, focusing on selling their early talent recruiting platform. While Handshake has an AI division, this specific role is in sales and does not involve building or directly working with AI models. The company is scaling its AI data business and partners with AI labs. | — | 5 |
| Mid-Market Customer Success Manager This role is a Mid-Market Customer Success Manager at Handshake, a company that has launched an AI data business. The CSM will manage a portfolio of customers, focusing on product adoption, risk mitigation, and ROI. They will use data to prioritize efforts, conduct high-impact engagements, and contribute to scalable customer support strategies. The role involves collaborating with Account Managers and synthesizing customer feedback for the Product team. Experience in SaaS Customer Success and managing a large book of business is required. | — | 5 |
| Strategic Customer Success Manager, Federal This role is for a Strategic Customer Success Manager focused on Federal Accounts at Handshake. The primary responsibility is to manage the success lifecycle of complex government agency relationships, driving value realization, strategic alignment, and adoption. This involves onboarding, implementation, relationship management, strategic value delivery, expansion, training, and acting as the voice of the federal customer. The role requires strong account management, communication, and problem-solving skills, with a focus on translating customer needs into product insights. While the company has a significant AI business, this specific role is customer-facing and does not involve building AI models. | — | 5 |