Top Tech Jobs & Startup Jobs

Owns end-to-end people operations, including onboarding, performance and compensation cycles, offboarding, benefits, payroll, compliance, immigration casework, leave administration, HR technology, vendors, and people analytics. Builds scalable processes, documentation, automation, dashboards, and self-service systems while partnering with Legal, IT, Finance, recruiting, managers, and outside counsel to improve the employee experience.

January is seeking an exceptional, autonomous builder to shape a role around their strongest capabilities and highest-impact contributions. The role involves solving complex problems, diagnosing root causes, owning outcomes end to end, building scalable systems, experimenting with AI, and operating quickly with high candor. No minimum years of experience are required; demonstrated exceptional work and founding or early-team experience are valued.

Handle high-volume inbound calls, emails, texts, and chats from consumers seeking help with collection accounts. Diagnose issues, resolve concerns, take payments, document interactions, and meet customer service, recovery, quality, and efficiency targets. Improve contact-center workflows, communicate caller feedback to internal teams, and follow federal, state, and company compliance requirements while maintaining empathy during sensitive financial conversations.

Own and build January’s foundational data systems, including end-to-end pipelines, data quality standards, legacy migrations, recovery processes, and documentation. Partner with engineers, analysts, operations, and product teams to establish trusted, scalable data infrastructure. Prioritize high-impact improvements, manage stakeholder needs, define ownership boundaries, and use AI to create increasingly self-healing systems.

Own January’s trusted analytics layer by designing a dbt-driven semantic layer in Snowflake, standardizing metrics and data contracts, improving client reporting, expanding data capture, and managing analytics costs. The role enables trustworthy self-service across dashboards, chatbots, and future AI agents while partnering with Data Engineering, Analytics, Borrower Support, and Client Acquisition.

Chief of Staff to the CEO responsible for driving six-week planning cycles, operating reviews, cross-functional triage, strategic diligence, board materials, investor updates, and company performance reporting. The role identifies and owns unassigned high-impact problems, accelerates decision-making, improves communication and information flows, and develops AI-enabled workflows. This is an in-person role based in New York City.

Own full-cycle recruiting for engineering, product, operations, and business roles. Source elite talent, run 6–8 concurrent searches, build recruiting systems and playbooks, drive data-driven funnel optimization, coach hiring managers, and maintain hiring quality under growth pressure.

As a Senior Data Scientist in Product Analytics, you will analyze data to guide product decisions, support product managers, and improve financial stability for users.

Lead and scale security engineering: define strategy, hire and mentor team, manage IAM, cloud security and multi-tenant data isolation, run detection and incident response, own vulnerability management, support SOC2/PCI compliance, and secure AI systems.

Own product strategy and execution for either LLM-driven conversational infrastructure or high-throughput outbound communications and experimentation. Drive experiments, data-informed decisions, and build 0-to-1 systems that tune messaging and borrower experiences across chat, voice, email, and SMS while navigating legal, ethical, and financial constraints.