Jobs at Handshake

Lead two engineering teams (Quality and Annotations) totaling ~15 engineers to build AI quality/evaluation tooling and an annotations platform. Own operator workflows, tasking flows, and pipeline infrastructure, develop senior ICs and EMs, set cross-team technical strategy, and partner with stakeholders to prioritize platform investments that accelerate data delivery and model evaluation.

Lead a team bridging frontier AI research and enterprise delivery to design post-training and RL environments, scale post-training infrastructure, support strategic lab projects, manage client relationships, and grow engineering and research talent while shaping technical roadmap.

Lead full-cycle technical recruiting for engineering, AI, ML, research, product, and design roles. Partner with engineering leaders and executives to set hiring strategy, build talent markets, source passive candidates, improve interview funnels, and deliver an exceptional candidate experience through offer acceptance.

Own a portfolio of education partners to drive retention, renewals, and expansion. Build engagement programs and trainings, monitor usage and health signals, and coordinate cross-functionally to resolve partner needs. Travel 25–35% and act as strategic advisor and customer advocate to improve adoption and long-term outcomes.

The Staff Forward Deployed Engineer will define technical strategies, oversee deployments for strategic clients, and mentor engineers while enhancing engineering practices.

The Senior Forward Deployed Engineer will lead deployment solutions, mentor other engineers, and enhance customer engagement through technical leadership and innovative problem-solving.

Source, pitch, negotiate, and close enterprise data licensing partnerships for Handshake AI. Translate research requirements into partner profiles, structure commercial and privacy-compliant terms, manage C-suite relationships through long sales cycles, and coordinate with engineering and data teams to deliver signed datasets. Forecast and report pipeline and closed deals.

Manage strategic projects and recruiting campaigns to drive employer adoption, retention, and expansion. Provide data-driven insights, custom reporting, training, and product expertise to help employer partners attract and hire entry-level talent while collaborating cross-functionally to improve platform experience.

Build AI-driven workflows, automations, and agents for GTM teams; mine and score prospect signals; implement and maintain Salesforce- and warehouse-integrated systems using Python, SQL, BigQuery, Clay, and orchestration tools; own end-to-end delivery, monitoring, and documentation.

The Engagement Management Lead will drive customer relationships by managing the full engagement lifecycle, ensuring successful implementation, and translating customer needs into actionable programs.

As a Machine Learning Engineer I, you will develop and deploy machine learning systems for core relevance signals, collaborating with engineers and product teams.

Manage a team of Strategic Project Leads in delivering high-stakes AI data projects while ensuring operational excellence and performance metrics.

Build and operate shared ML/AI infrastructure: data pipelines, feature stores, training, model serving and LLM platform work. Scale inference and training (GPU, batching, autoscaling), enable evaluation and post-training workflows, and partner with AI, data science, and product teams to productionize models and improve platform reliability and developer experience.

Lead product analytics for Handshake's recruiting marketplace: define metrics, own analytics strategy, run experiments, evaluate ML models, perform cohort and funnel analyses, build dashboards, and partner with product, engineering, and analytics engineering to drive data-informed growth and pricing decisions.

Embed with high-value customers to discover and deliver off-platform tasking solutions, own the end-to-end fellow experience in external environments, graduate bespoke integrations into platform primitives, define success metrics for speed and repeatability, and partner cross-functionally to scale revenue-critical AI training-data engagements.

Build and own systems, tooling, and processes for Strategic Project Leads to scale a central quality-control program. Grow and calibrate a large auditor workforce, integrate LLMs and prompt engineering to improve auditing efficiency, and embed quality processes across Delivery. May also design SPL onboarding, operator tooling, and an Emerging Talent program while hiring and leading a team as the scope expands.

Founding product marketing role for Handshake AI's enterprise line: own positioning, messaging, and sales enablement; translate technical proof points for technical buyers; support demos and discovery with sales; build account-based vertical motions and minimum viable digital presence; use AI tooling to scale output.

Own the product roadmap for coding as a human-data modality: define scope (review, debugging, generation), run customer discovery with AI labs, prioritize roadmap, lead a cross-functional squad, set metrics, and launch pilots to scale repeatable offerings.

Lead design and scaling of Reinforcement Learning Environments (RLE) and data pipelines, partnering with research, product, and ops to build reliable, observable, production systems that generate high-quality training and evaluation data.

As a Software Engineer, you'll enhance AI applications for enterprise customers, develop full-stack solutions, and collaborate closely on product quality and user experience.