Jobs at Karat

Build AI-powered tools, scalable services, APIs, automations, and community experiences for Brilliant Black Minds. Lead projects independently from design through release, integrate LLM capabilities, and manage community operations including Discord moderation, member engagement, and study groups. Serve as the program’s sole engineer while translating community needs into reliable technical solutions.

Design, build, and maintain scalable cloud-based data pipelines, models, workflows, and transformations. Own pipeline architecture, orchestration, monitoring, reliability, performance, and data quality. Manage PostgreSQL, Redshift, Airflow, and Terraform-based infrastructure while applying software-engineering practices such as testing, code review, observability, and documentation. Collaborate with globally distributed technical and business teams to improve data literacy and deliver trusted information.

Manage sophisticated enterprise client relationships throughout the customer lifecycle, driving renewals, account expansion, and measurable business outcomes. Advise executive stakeholders, analyze performance data, build ROI cases, lead organizational change, and collaborate with go-to-market, product, marketing, solutions, and customer experience teams. The role requires managing complex technology transformation initiatives and influencing senior technical leaders, with up to 20% travel for strategic meetings and industry events.

Manage sophisticated enterprise client relationships, drive new business and account expansion, lead complex SaaS sales cycles, and advise financial services organizations on hiring transformation. Build executive relationships, develop ROI cases, analyze performance data, negotiate contracts, coordinate cross-functional account strategies, and influence organizational change. The role serves enterprise FinServ and FinTech clients, requires 10+ years of strategic enterprise SaaS sales or account management experience, and involves up to 20% travel in the New York City metropolitan area.

Serve as the strategic technical advisor for enterprise clients, presenting Karat’s solutions, architecting and implementing interview frameworks, leading onboarding, conducting strategic reviews, and delivering executive training. Analyze hiring performance data with Content and Data teams, calibrate assessment metrics, recommend improvements, and strengthen client relationships. Partner with GTM and engineering teams throughout the customer lifecycle while improving internal customer operations processes. Travel up to 20% for client meetings and events.

Leads Karat’s integrated communications function, including external, internal, executive, media, and crisis communications. Advises the CEO and leadership team on messaging and stakeholder impact; builds media relationships and executive platforms; develops campaigns with marketing teams; manages crisis communications; and oversees PR agencies and communications partners. The role requires extensive communications leadership experience in high-growth technology or B2B companies.

Own the vision, strategy, roadmap, and execution for Karat’s hiring-manager-facing product experience. Lead customer discovery, analytics, experimentation, enterprise product development, and AI-driven insight initiatives. Collaborate with engineering, content, design, and go-to-market teams to launch scalable B2B SaaS products, improve onboarding and results delivery, and drive measurable business impact. The role requires executive communication, enterprise client engagement, and cross-functional leadership.

Own the vision, strategy, and execution for Karat’s technical assessment and interview-innovation platform. Define AI-driven assessment capabilities, analyze interview data, design experiments, prioritize product development, and collaborate with engineering, content, design, and go-to-market teams. Engage technical enterprise leaders, build business cases, support expansion strategies, and communicate product strategy to executives. The role is fully remote but limited to candidates in specified U.S. states.

Design, build, test, and validate technical interview content, including coding exercises, debugging challenges, knowledge assessments, and engineering scenarios. Write reference solutions across programming languages, use AI-assisted development tools, conduct peer reviews, and improve content based on candidate performance data and interviewer feedback. Collaborate with Content Architecture to maintain standards, templates, documentation, and assessment quality while working remotely with schedule overlap during U.S. business hours.

Build and grow a high-quality interviewer network by sourcing, outreach, onboarding, and coordinating across teams. Use AI tools to screen candidates, track supply metrics, maintain ATS data, and identify process improvements to increase recruiting efficiency and retention.