Connecting the world's tech talent with employers that matter to them
Newcastle upon Tyne, England
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.
On-site
Manage accounting operations, including the monthly close, revenue recognition, billing, financial reporting, and audit readiness. Own financial modeling and planning, analyze unit economics, and implement automation to improve finance workflows.
On-site
Partner with leaders on organizational design, hiring plans, succession strategies, and career frameworks aligned with business goals. Support teams through change, advise on interpersonal and team challenges, and promote an inclusive culture.
Remote · Canada
Partner with enterprise customers to optimize platform use, develop joint success plans, and ensure measurable business value. Lead executive reviews and workshops, collaborate with internal teams to represent customer needs, and mentor colleagues.
On-site
Lead and mentor a distributed account management and customer success team, driving revenue growth, retention, renewals, and expansion across enterprise accounts. Develop scalable sales processes and account planning practices, collaborate across product, support, and implementation, and serve as executive sponsor for strategic customers.
On-site
Provide customer support and real-time troubleshooting through phone, chat, and video, while tailoring communication to users’ needs. Lead product demonstrations and onboarding, support sales activities, and help customers get the most value from the platform.
Remote · Canada
Design and refine rubrics and evaluation criteria for preference data, review and label data to a high quality standard, and build infrastructure and pipelines for data workflows. Summarize findings and collaborate with researchers and engineers to turn qualitative judgments into scalable processes.
