Top Tech Jobs & Startup Jobs

Own the design, development, and operation of a large-scale search platform. Improve retrieval quality and ranking, build indexing and query-serving systems, reduce latency and query costs, and manage services through launch, monitoring, and refinement. The role requires backend programming, search relevance expertise, performance optimization, and data-driven iteration. It is a full-time, on-site position in San Francisco or Toronto.

Serve as the technical expert throughout sales opportunities by conducting discovery, designing solutions, demonstrating products, answering technical questions, building prototypes, and writing proposals. Partner with revenue, product, and engineering teams to advance deals and relay prospect feedback. The role requires hands-on coding, practical AI experience, customer-facing technical communication, and on-site work in San Francisco five days per week.

Support attorneys on complex civil litigation by researching legal and factual issues, verifying citations, proofreading drafts, managing e-discovery workflows, organizing court filings and deadlines, and assisting with public-sector bids and proposals. The role requires strong writing, proofreading, organizational, and legal research skills, along with experience in complex litigation and proficiency with e-discovery and office software. This is a hybrid position requiring three days per week onsite in San Francisco or Boston.

Own AI product pilot deployments for major insurance brokers, managing client communication, workflow discovery, requirements translation, stakeholder relationships, adoption, and expansion. Build AI-assisted prototypes and demos, collaborate closely with founders and engineers, and develop a repeatable deployment playbook. The role is onsite five days weekly in London, includes regular UK travel, and requires an intensive work schedule.

Build and lead the in-house talent function as the company scales from approximately 50 to 250 employees. Source and close technical and non-technical candidates, hire and manage three to six recruiters, partner with executives on workforce planning and compensation, and establish structured recruiting processes, analytics, and onboarding handoffs. The role also includes hiring an HR generalist and developing future HR leadership foundations.

Own strategy and operations initiatives across a healthcare AI startup, identifying bottlenecks, improving offshore operations, automating workflows with Engineering, and building metrics, dashboards, and operating cadences. Support go-to-market, sales enablement, recruiting, fundraising, planning, and commercial operations while partnering directly with leadership. The role is onsite five days weekly in New York City and requires end-to-end project ownership, analytical thinking, strong writing, and comfort operating in a fast-growing environment.

Build and own AI-powered software for real estate title and escrow operations. Responsibilities include creating property and transaction data systems, developing multi-agent workflows, integrating and evaluating AI systems, applying language models to property law, and automating closings, mortgages, documents, and payments. The role involves full-stack product ownership, technical decision-making, deployment, and close collaboration with attorneys, closing teams, operators, and the CTO.

Internal, unpublished systems-integration fixture for validating that Workable applications preserve candidate identity, resume, LinkedIn profile, and application metadata through Raydar Applicant Hub and Paraform. It is not an employment opportunity and provides no compensation or benefits. Production roles must be cloned, renamed, given an actual description, and configured with mandatory candidate name, email, resume, and public LinkedIn URL fields.

Own the full sales cycle for acquiring datasets from startups winding down. Responsibilities include founder outreach, outbound prospecting, pipeline development, deal negotiation, data pricing and legal terms, closing transactions, and improving the sales playbook. The role targets at least 10 datasets acquired monthly with a 40% or higher close rate and requires onsite work five days per week in Brooklyn.

Build qualified sales pipeline through outbound prospecting and inbound lead qualification. Research target accounts, personalize outreach, qualify leads, educate technical and business buyers on AI inference and model-serving products, meet pipeline targets, and collaborate with Sales and Marketing. The role requires full-time onsite work in New York City or the San Francisco Bay Area.