Handshake

Account Executive

• Connect Employers to students and alumni
• Manage full-cycle sales process from prospecting to closing
• Exceed quarterly and annual quota targets
• Develop relationships with senior executives
• Leverage internal tools to prospect and close business
• Act consultatively to sell Handshake's value
• Forecast business accurately on monthly/quarterly/yearly basis
• Interact and collaborate cross-functionally

Mid-Market Account Executive

Sales Development Rep

• You’ll be the first point of contact for prospective employer partners; responsible for building qualified pipeline and maintaining a high standard in every interaction.
• Consistently hit or exceed monthly targets; starting at Month 2, new hires are expected to exceed their ramping quota
• Generate and qualify a high volume of outbound opportunities through thoughtful, personalized outreach
• Manage and convert inbound leads quickly and efficiently, maintaining a high level of context and professionalism
• Partner closely with Account Executives on territory plans, messaging, and deal strategy
• Track activity and insights accurately in Salesforce, Gong, and Outreach
• Reflect on performance weekly; what worked, what didn’t, and how to improve

Sales Development Representative

People Operations

• Lead and scale People Ops: Manage and develop a small team responsible for core people processes (onboarding, offboarding, data, systems, compliance, payroll/benefits ops).
• Drive execution: Own the day-to-day operations that keep the People function running — ensuring accuracy, speed, and great employee experience.
• Build systems: Improve and optimize our HRIS (Workday, Ashby, others) and connected systems for automation, efficiency, and data accuracy.
• Partner cross-functionally: Collaborate with Finance, IT, Legal, and business leaders to align people processes with company goals.
• Ensure compliance: Maintain compliance with employment laws and regulations across states/countries, while keeping our approach simple and scalable.
• Scale programs: Support rollout and execution of key People programs — performance cycles, engagement surveys, compensation reviews, etc.
• Be a builder: Spot process gaps and fix them fast. Implement lightweight, tech-enabled solutions that grow with us.

People Operations Lead

Program Manager

• Manage privacy-driven programs end to end to ensure regulatory readiness and compliance with global privacy and data protection laws, including GDPR, CCPA, LGPD and other privacy regulations.
• Leverage deep privacy expertise to collaborate with Product, Security, and other cross-functional partners to identify, assess, and mitigate privacy risks across systems and processes.
• Lead vendor privacy reviews and support broader third-party risk management initiatives.
• Develop and maintain processes for data subject rights requests and cookie compliance.
• Conduct and oversee Privacy Impact Assessments and Data Protection Impact Assessments.
• Continuously improve user-facing workflows to ensure operational streamlining for existing and new privacy laws and regulations.
• Create and maintain internal and external documentation to provide scalable privacy support and resources.
• Support Handshake’s Compliance & Ethics Program, including AI governance, policy governance, training, monitoring activities, and third-party risk management.
• Prepare periodic reports for leadership on program effectiveness and key risk indicators.
• Be a strong advocate for a privacy mindset while working with product, engineering, and other internal teams.

Privacy and Compliance Program Manager

AI Research Scientist

• Lead teams of researchers to produce original research in LLM evaluation methodologies, interpretability, and human-AI knowledge alignment.
• Develop novel frameworks and assessment techniques that reveal deep insights into model capabilities, limitations, and emergent behaviors.
• Collaborate with engineers to translate research breakthroughs into scalable benchmarks, evaluation systems, and standards.
• Pioneer new approaches to measuring reasoning, alignment, and trustworthiness in frontier AI systems.
• Author high-quality code to enable large-scale experimentation, reproducible evaluation, and knowledge assessment workflows.
• Publish in top-tier conferences and journals, establishing new directions in the science of AI evaluation.
• Work cross-functionally with leadership, engineers, and external partners to set industry standards for responsible AI evaluation and alignment.

Staff AI Research Scientist – Evaluation

• Lead high-impact research on data quality frameworks for post-training LLMs — including techniques for preference consistency, label reliability, annotator calibration, and dataset auditing.
• Design and implement systems for identifying noisy, low-value, or adversarial data points in human feedback and synthetic comparison datasets.
• Drive strategy for aligning data collection, curation, and filtering with post-training objectives such as helpfulness, harmlessness, and faithfulness.
• Collaborate cross-functionally with engineers, alignment researchers, and product leaders to translate research into production-ready pipelines for RLHF and DPO.
• Mentor and influence junior researchers and engineers working on data-centric evaluation, reward modeling, and benchmark creation.
• Author foundational tools and metrics that connect supervision data characteristics to downstream LLM behavior and evaluation performance.
• Publish and present research that advances the field of data quality in LLM post-training, contributing to academic and industry best practices.

Staff AI Research Scientist, Data Quality

Artificial Intelligence

• Build and scale a distributed Handshake AI Support team comprised of FTE, contract, and outsourced (BPO) staff
• Manage Handshake AI Support volume and maintain low response times and SLAs
• Identify and reduce support volume and bottlenecks via product, tooling, and self-service enhancements
• Create playbooks, process documentation, knowledge bases, SOPs, and enablement materials to ensure rapid onboarding and consistent support
• Develop communication frameworks and cadences to align leadership, product, engineering, and operations on Fellow needs and product issues
• Hire, train, and develop a high-performing, engaged, and inclusive support team
• Monitor queues, team performance, and daily operations; coach and intervene as needed
• Pull and analyze data and trends to inform solutions, help content, chatbot flows, tools, and enablement
• Assess team efficiency, utilization, and quality and help inform forecasts and staffing models
• Partner with product managers and domain experts to translate complex AI product features into clear enablement and training resources
• Collaborate cross-functionally to advocate for Fellows and co-design product improvements
• Help inform and build Global Support and Handshake AI vision, strategy, and long-term planning
• Attend and help facilitate annual Global Support onsite and other Handshake AI onsites or events; travel to SF quarterly

Senior Manager, AI Support – Enablement

• Review and analyze AI-generated Materials Science content using proprietary software and provide expert feedback
• Ensure high-quality data curation to enhance AI model accuracy
• Collaborate with technical teams to refine annotation tools and methodologies for Materials Science-related tasks
• Evaluate AI-generated and human responses across biomaterials, nanomaterials, electronic materials, and structural materials
• Interpret, analyze, and review tasks based on evolving guidelines
• Participate in improving annotation rubrics and data quality for scientific education

AI Tutor, Materials Science Specialist

Machine Learning Engineer

• Use internal tools to review and refine AI-generated responses related to computer science and software engineering
• Assess outputs for technical correctness, programming relevance, and clarity across algorithms, data structures, operating systems, networking, databases, and software design patterns
• Curate high-quality datasets used for training and fine-tuning AI models in computing domains
• Identify blind spots, edge cases, and misleading explanations in computer science topics
• Collaborate with cross-functional AI teams to improve content quality and knowledge alignment across technical disciplines
• Support training of large language models used in software development, computer science education, and technical research

AI Tutor, Computer Science / Machine Learning Specialist

• Using proprietary software to evaluate AI-generated medical content and provide detailed feedback
• Ensuring accurate medical data curation to improve AI model performance
• Collaborating with technical teams to refine tools and methodologies for medical content review
• Reviewing and analyzing medical tasks across general practice, pathology, pharmacology, and more
• Staying current on evolving medical guidelines and standards
• Providing expert annotations and critique to enhance healthcare AI reliability

AI Tutor, Medicine Specialist

Electrical Engineer

• Analyzing and improving AI-generated content in electrical and electronic engineering domains
• Evaluating model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics
• Annotating and curating training data for electrical engineering-related LLM outputs
• Collaborating with technical teams to identify gaps, inaccuracies, or misleading content
• Applying engineering judgment to ensure high-quality, consistent model outputs
• Variable time commitments as a remote contract role

AI Tutor, Electrical Engineering Specialist

Customer Support

• Handshake is building the career network for the AI economy, connecting millions of students, institutions, and employers
• Handshake AI is a human data labeling business partnering with leading AI research labs to build domain-specific data and evaluation at scale
• Lead operational improvement projects to streamline workflows, reduce escalations, and enhance the customer experience
• Use data (SQL, Looker, spreadsheets) to uncover trends, identify root causes, and measure improvements
• Partner with Product, Engineering, and cross-functional teams to design and implement systemic fixes
• Drive change management for new tools, processes, and policies, securing buy-in across stakeholders
• Define, track, and report on KPIs for operational performance and team engagement
• Build a culture of empathy for frontline employees and customers, translating pain points into scalable solutions
• Spend ~70% of time diagnosing and fixing systemic operational pain points and ~30% managing and coaching frontline managers and agents

Customer Experience and Strategy Lead

Marketing

• Handshake is building the career network for the AI economy, connecting students, educational institutions, and employers
• Marketing Working Student (Werkstudent*in) supporting European marketing to build awareness, engage students and universities, and strengthen Handshake’s brand
• Support the planning and execution of marketing campaigns across digital and offline channels
• Support with product launches and communicating feature updates to partners
• Drive engagement for the Handshake feed among Gen Z
• Assist with content creation (social media posts, blogs, email newsletters, presentations)
• Help grow social media presence (LinkedIn, Instagram, TikTok)
• Conduct market and competitor research to support marketing strategy
• Assist with organisation and promotion of virtual and in-person events
• Coordinate with the European Handshake marketing team to localize content for the German market

Werkstudent/in, Marketing

• Handshake is building the career network for the AI economy, connecting 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers
• Handshake AI is a human data labeling business that leverages the scale of the largest early career network to build domain-specific data and evaluation at scale
• Unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts
• Design and conduct original research in LLM understanding, evaluation methodologies, and the dynamics of human-AI knowledge interaction
• Develop novel evaluation frameworks and assessment techniques that reveal deep insights into model capabilities and limitations
• Collaborate with engineers to transform research breakthroughs into scalable benchmarks and evaluation systems
• Pioneer new approaches to measuring model understanding, reasoning capabilities, and alignment with human knowledge
• Write high-quality code to support large-scale experimentation, evaluation, and knowledge assessment workflows
• Publish findings in top-tier conferences and contribute to advancing the field’s understanding of AI capabilities
• Work with cross-functional teams to establish new standards for responsible AI evaluation and knowledge alignment

AI Research Scientist, Evaluation

• Be the Lab’s First Call: act as point of contact for researchers at advanced AI labs and build trust-based relationships
• Scope and launch new research-driven initiatives: partner with labs to uncover unarticulated data and evaluation needs across reasoning, multi-agent systems, and tool use
• Prototype and bring new offerings to market: design new data types, spin up pilots with engineering and ops, and collaborate with business teams to scale offerings
• Work within Handshake AI: leverage the largest early-career network to build human data products and evaluations at scale

AI Researcher

• Design and implement post-training systems and methodologies in close partnership with research scientists and domain experts
• Build and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluation
• Develop robust frameworks for verifying the quality and integrity of highly specialized domain datasets
• Create next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessment
• Optimize performance across software and hardware layers to accelerate post-training experimentation and deployment
• Collaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliability

AI Research Engineer

Brand Manager

• Talent Brand Manager to own and elevate Handshake’s reputation as a destination for top talent. Sitting within the Recruiting team, this role will partner closely with executives, recruiters, and marketing to craft compelling narratives, campaigns, and experiences that attract world-class candidates across both Handshake and Handshake AI.
• This is a highly visible, cross-functional role where you’ll set the pace for how Handshake shows up as an employer of choice.
• Employer Branding Strategy: Define and execute Handshake’s talent brand strategy to differentiate us in a competitive market.
• Content & Storytelling: Develop high-impact content (blogs, social posts, video, career site updates, recruiter toolkits) that tells the story of our mission, people, culture, and growth.
• Recruiting Campaigns: Partner with recruiters and hiring managers to design targeted campaigns for priority roles and hard-to-fill pipelines (e.g., engineering, AI, design, GTM).
• Recruiting Operations Integration: Collaborate closely with Recruiting Operations to embed brand messaging into candidate communications, interview workflows, and recruiting processes, ensuring a consistent and authentic candidate experience.
• Talent Nurture & ATS Campaigns: Leverage our ATS (Ashby) to segment and build campaigns for passive talent across key talent pools.
• Digital Channel Management: Manage all digital channels (Handshake Career Site, LinkedIn, Handshake platform, Indeed, etc.), identify new ones, and optimize the mix of candidate sources.
• Employee Advocacy: Launch initiatives that empower employees to share their stories—highlighting Handshake’s mission, impact, and culture.
• Events & Partnerships: Support events (career fairs, university partnerships, AI research showcases, DEI initiatives) that amplify Handshake’s presence in the market.
• Measurement & Insights: Track brand health, engagement, and pipeline impact to continuously improve efforts.

Talent Brand Manager

Product Designer

• Redefine the employer vision through AI: You’ll play a leading role in developing a vision for how AI can reshape hiring — from conversational interfaces that guide employers through the hiring process to nuanced matchmaking between employers and job seekers. And you’ll make that future tangible in pixels and prototypes.
• Collaborate across disciplines: Partner closely with PM, engineering, UX research, data science, content, marketing, and design peers to ship and iterate on features that push the boundaries, are great to use, and drive business impact.
• Elevate design culture: Mentor teammates, raise the bar on craft and systems thinking, and champion a culture of rapid experimentation and learning.
• Shape product coherence: Work with design leadership and design systems to ensure experiences integrate seamlessly across the three sides of our platform, especially as we introduce new AI interfaces throughout the ecosystem.

Staff Product Designer

• Define, craft, and iterate the company's Mobile Design System, ensuring it meets usability and performance standards
• Explore, share, and implement the newest mobile platform capabilities, staying in-the-know about iOS and Android’s evolution.
• Collaborate closely with your partners, both cross-functionally and within design: research, PM, engineering, analytics, design, brand, marketing – to ship and iterate on strategic, well-thought-out, surprisingly great-to-use products that make real impact for both our customers and business
• Track and analyze user behavior to find areas of friction and opportunities for design improvements within the component and how users interact with it
• Help your team succeed: raise the bar on culture, operations, and execution of design work, including product reasoning, systems thinking, pixel level precision, mobile prototyping, ability to facilitate conversations with and present to stakeholders, stellar teamwork and mentoring
• Strengthen the overall product organization's ability to experiment, iterate, and learn alongside your product organization lead teammates; develop well-informed strategic visions of where we're headed, collaborate to break them into pragmatic phases to scaffold our way forward
• Inform creative direction and information architecture alongside your design leader teammates and the VP of Design to weave a seamless, symbiotic experience across the disparate areas of our three-sided marketplace

Staff Product Designer, Mobile Design Systems

Content Marketing Manager

• Organize, craft, and iterate on large, strategic initiatives: you'll use data, research, and product thinking to inform your work
• Develop and iterate content systems, patterns, and style guidelines, ensuring our language remains concise, clear, accessible, and usable while conveying complex information to audiences in a very wide range of fields
• Contribute to design workshops, usability testing, and content critiques
• Collaborate closely with your partners, both cross-functionally and within design: product design, research, PM, engineering, operations, analytics, design systems, brand, marketing – to ship and iterate on strategic, well-thought-out, great-to-use products that make real impact for both our fellows, operators, and customer labs
• Help your team succeed: raise the bar on culture, operations, and execution of design work, including product narratives, voice and tone, product reasoning, systems thinking, prototyping, ability to facilitate conversations with and present to stakeholders, stellar teamwork and mentoring
• Strengthen the overall product organization's ability to experiment, iterate, and learn alongside your product organization to lead teammates; develop well-informed strategic visions of where we're headed, collaborate to break them into pragmatic phases to scaffold our way forward

Senior Content Designer II

Accounting Manager

• Manage the monthly revenue close and reporting process, ensuring the accuracy and timeliness of revenue recognition
• Prepare and review revenue-related journal entries, account reconciliations, and supporting documentation
• Oversee the implementation and maintenance of revenue recognition policies and procedures, ensuring compliance with ASC 606 and other relevant accounting standards
• Collaborate with cross-functional teams (Sales, Legal, and Finance) to review and interpret customer contracts for proper revenue treatment
• Lead the Accounts Receivable operations team, overseeing customer invoicing, cash applications, collections, and customer account reconciliation processes
• Analyze customer aging reports and provide guidance on appropriate actions to collect outstanding balances and account for delinquent balances
• Monitor and improve the billing and accounting system setup, partnering with our NetSuite and Celigo support teams on reporting and automation initiatives
• Mentor and provide performance management for junior team members
• Continuously improve revenue accounting processes and internal controls by driving system automation initiatives and developing standard operating procedures
• Actively participate in external audits and respond to revenue-related audit inquiries. Assist with the preparation of external financial statements and disclosures related to revenue
• Liaise with third-party NetSuite support providers to improve outputs and transaction layouts, ensuring alignment with domestic and international document requirements
• Monitor and improve tax compliance, leveraging Avalara for domestic transactions and identifying and implementing procedures for international transactions (e.g., NetSuite SuiteTax)
• Create reports from various data sources to summarize, forecast, and report on key performance indicators (KPIs) related to cash collections and revenue
• Manage master data related to SKU integration across key business applications

Senior Manager, Revenue Accounting

• Remote contract role to support Handshake users (employers, students, career services)
• 6-month contract with potential extension or conversion to permanent role
• You will work closely with Support Team to unblock users and improve customer experience and operations
• You will help share trends and learnings with the team
• You’ll improve Handshake user experience and mission to democratize opportunity
• Location-based requirements: must be in listed US states if working from home
• Requirements: technical aptitude; resilience; teamwork; communication; ownership; growth mindset; diversity and inclusion; coverage
• Bonus areas: Zendesk experience; IT/data/CS courses; EdTech experience; enterprise SaaS support experience; cross-functional collaboration

Contractor, Support Specialist

Accounts Payable

• Your Impact: As an Accounts Payable Accountant at Handshake AI, you’ll ensure the timely, accurate, and scalable processing, tracking, and reporting of all contractor payments. In our fast-moving environment, this role plays a key part in maintaining strong relationships with service providers, ensuring contractual compliance, and supporting the financial health of projects and the company. You’ll leverage automation, data insights, and cross-functional collaboration to streamline workflows and enable smarter decision-making.\n• Your Role\n• Process and verify contractor payment requests with speed, accuracy, and compliance to contract terms.\n• Investigate and resolve billing discrepancies, ensuring issues are addressed quickly and collaboratively.\n• Manage approval, scheduling, and release of payments in line with company policies and project timelines.\n• Maintain organized, accessible, and audit-ready payment records.\n• Reconcile accounts payable sub-ledgers with the general ledger and investigate discrepancies.\n• Create and maintain real-time payment tracking and reporting dashboards.\n• Ensure compliance with tax requirements and support audit or regulatory review processes.\n• Proactively communicate payment schedules, monitor cash flow needs, and flag potential financial risks.\n• Identify, recommend, and lead automation or process improvement initiatives to boost efficiency and accuracy.